16.6.2.13 Target and Feature Tracking, Multi-Object, Multiple Objects, Multiple Target

Smith, P., and Buechler, G.,
A Branching Algorithm for Discriminating and Tracking Multiple Objects,
AC(20), 1975, pp. 101-104. BibRef 7500

Reid, D.B.,
An Algorithm for Tracking Multiple Targets,
AC(24), No. 6, December 1979, pp. 843-854. BibRef 7912

Wolf, J.K., Viterbi, A.M., and Dixon, G.S.,
Finding the Best Set of K Paths through a Trellis with Application to Multitarget Tracking,
AeroSys(25), No. 2, March 1989, pp. 287-296. BibRef 8903

Castañon, D.A.,
Efficient Algorithms for Finding the K Best Paths through a Trellis,
AeroSys(26), No. 2, March 1990, pp. 405-410. BibRef 9003

Bray, A.J.[Alistair J.],
Tracking Objects Using Image Disparities,
IVC(8), No. 1, February 1990, pp. 4-9.
Elsevier DOI BibRef 9002
And:
Tracking Curved Objects by Perspective Inversion,
BMVC91(xx-yy).
PDF File. 9109
BibRef

Danchick, R., and Newnam, G.E.,
A Fast Method for Finding the Exact N-Best Hypotheses for Multitarget Tracking,
AeroSys(29), No. 2, 1993, pp. 555-560. BibRef 9300

Jalihal, D.[Devendra], Nolte, L.W.[Loren W.],
Signal Detection Theory Approach to the Multiple Parallel Moving Targets Problem,
GMIP(55), No. 4, July 1993, pp. 235-yy. BibRef 9307

Srivastava, A., Miller, M.I., and Grenander, U.,
Multiple Target Direction of Arrival Tracking,
TSP(43), No. 5, May 1995, pp. 1282-1285. BibRef 9505

Clarke, J.C., Zisserman, A.,
Detection and Tracking of Independent Motion,
IVC(14), No. 8, August 1996, pp. 565-572.
Elsevier DOI 9609
BibRef
Earlier: BMVC95(xx-yy).
PDF File. 9509
BibRef

Clarke, J.C., Carlsson, S., and Zisserman, A.,
Detecting and Tracking Linear Features Efficiently,
BMVC96(Tracking).
HTML Version. 9608
University of Oxford and Royal Institute of Technology, Stockholm BibRef

Clarke, J.C.[John Christopher],
Applications of Sequence Geometry to Visual Motion,
Ph.D.Thesis, University of Oxford, 1996
HTML Version. BibRef 9600

Le Cadre, J.P., Tremois, O.,
Properties and Performance of Extended Target Motion Analysis,
AeroSys(32), No. 1, January 1996, pp. 66-83. BibRef 9601
And: Reply to comments: AeroSys(34), No. 3, July 1998, pp. 1028-1032. 9808

See also Comments on Properties and Performance of Extended Target Motion Analysis. BibRef

Tremois, O., Le Cadre, J.P.,
Target Motion Analysis with Multiple Arrays: Performance Analysis,
AeroSys(32), No. 3, July 1996, pp. 1030-1046. 9608
BibRef

Rao, S.K.,
Comments on 'Properties and Performance of Extended Target Motion Analysis',
AeroSys(34), No. 3, July 1998, pp. 1027-1028. 9808

See also Properties and Performance of Extended Target Motion Analysis. BibRef

Agbinya, J.I.[Johnson I.], Rees, D.[David],
Multi-Object Tracking in Video,
RealTimeImg(8), No. 5, October 1999, pp. 295-304. 9911
BibRef

MacCormick, J.P.[John P.], Blake, A.[Andrew],
A Probabilistic Exclusion Principle for Tracking Multiple Objects,
IJCV(39), No. 1, August 2000, pp. 57-71.
DOI Link 0008
BibRef
Earlier: ICCV99(572-578).
IEEE DOI
See also C-Conditional Density Propagation for Visual Tracking. BibRef

Isard, M.[Michael], MacCormick, J.P.[John P.],
BraMBLe: A Bayesian Multiple-Blob Tracker,
ICCV01(II: 34-41).
IEEE DOI 0106
BibRef

Rasmussen, C.[Christopher], Hager, G.D.[Gregory D.],
Probabilistic Data Association Methods for Tracking Complex Visual Objects,
PAMI(23), No. 6, June 2001, pp. 560-576.
IEEE DOI 0106
BibRef
Earlier:
Joint Probabilistic Techniques for Tracking Multi-part Objects,
CVPR98(16-21).
IEEE DOI Implicitely reason about data associations to improve tracking. A hierarchy of tracking strategies. Derive a randomized tracking algorithm from existing PDAF (
See also Review of Statistical Data Association Techniques for Motion Correspondence, A. ) technique. BibRef

Gennari, G., Hager, G.D.,
Probabilistic data association methods in visual tracking of groups,
CVPR04(II: 876-881).
IEEE DOI 0408
BibRef

Tao, H.[Hai], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh T.],
Object Tracking with Bayesian Estimation of Dynamic Layer Representations,
PAMI(24), No. 1, January 2002, pp. 75-89.
IEEE DOI 0201
BibRef
Earlier:
Dynamic Layer Representation with Applications to Tracking,
CVPR00(II: 134-141).
IEEE DOI 0005
Decompose video into coherent layers. Spatial and temporal constraints on shape, motion and layers.
See also Global Matching Framework for Stereo Computation, A. BibRef

Tao, H.[Hai], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet Singh],
Method and apparatus for tracking moving objects in a sequence of two-dimensional images using a dynamic layered representation,
US_Patent6,826,292, Nov 30, 2004
WWW Link. BibRef 0411

Tang, F.[Feng], Tao, H.[Hai],
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph,
CirSysVideo(18), No. 8, August 2008, pp. 1064-1074.
IEEE DOI 0809
BibRef
Earlier:
Non-orthogonal Binary Expansion of Gabor Filters with Applications in Object Tracking,
Motion07(24-24).
IEEE DOI 0702
BibRef
Earlier:
Object tracking with dynamic feature graph,
PETS05(25-32).
IEEE DOI 0602
BibRef

Amer, A.,
Voting-based simultaneous tracking of multiple video objects,
CirSysVideo(15), No. 11, November 2005, pp. 1448-1462.
IEEE DOI 0512
BibRef

Martins, F.C.M.[Fernando C. M.],
Method for simultaneous visual tracking of multiple bodies in a closed structured environment,
US_Patent6,950,123, Sep 27, 2005
WWW Link. BibRef 0509

Han, M.[Mei], Xu, W.[Wei], Tao, H.[Hai], Gong, Y.H.[Yi-Hong],
Multi-object trajectory tracking,
MVA(18), No. 3-4, August 2007, pp. 221-232.
Springer DOI 0706
BibRef
Earlier:
An algorithm for multiple object trajectory tracking,
CVPR04(I: 864-871).
IEEE DOI 0408
BibRef

Han, M.[Mei], Sethi, A., Hua, W.[Wei], Gong, Y.H.[Yi-Hong],
A detection-based multiple object tracking method,
ICIP04(V: 3065-3068).
IEEE DOI 0505
BibRef

Zhao, Q.[Qi], Tao, H.[Hai],
Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking,
ACCV07(I: 345-354).
Springer DOI 0711
BibRef
Earlier:
Object Tracking using Color Correlogram,
PETS05(263-270).
IEEE DOI 0602
BibRef

Miller, O., Averbuch, A., Navon, E.,
Tracking of Moving Objects in Video Through Invariant Features in Their Graph Representation,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0811
BibRef

Dubuisson, S.[Severine], Fabrizio, J.[Jonathan],
Optimal recursive clustering of likelihood functions for multiple object tracking,
PRL(30), No. 6, 15 April 2009, pp. 606-614.
Elsevier DOI 0903
Tracking; Clustering; Likelihood function; Motion characterization; Gabor filtering BibRef

Dubuisson, S.[Severine],
Recursive Clustering for Multiple Object Tracking,
ICIP06(2805-2808).
IEEE DOI 0610
BibRef
And:
An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum,
OTCBVS06(142).
IEEE DOI 0609
BibRef

Jiang, H.[Hao], Fels, S.S.[Sidney S.], Little, J.J.[James J.],
Optimizing Multiple Object Tracking and Best View Video Synthesis,
MultMed(10), No. 6, October 2008, pp. 997-1012.
IEEE DOI 0905
BibRef
Earlier:
A Linear Programming Approach for Multiple Object Tracking,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Pantrigo, J.J.[Juan José], Hernandez, J., Sánchez, Á.[Ángel],
Multiple and variable target visual tracking for video-surveillance applications,
PRL(31), No. 12, 1 September 2010, pp. 1577-1590.
Elsevier DOI 1008
Multi-dimensional visual tracking; Course of dimensionality; Dynamic number of targets; Surveillance applications BibRef

Jagannathan, S.[Srinivasan], Horn, B.K.P.[Berthold K.P.], Ratilal, P.[Purnima], Makris, N.C.[Nicholas C.],
Force Estimation and Prediction from Time-Varying Density Images,
PAMI(33), No. 6, June 2011, pp. 1132-1146.
IEEE DOI 1105
Estimation of forces that drive motions. Minimum Energy Flow. Such as schools of fish. BibRef

Betke, M., Hirsh, D.E., Bagchi, A., Hristov, N.I., Makris, N.C., Kunz, T.H.,
Tracking Large Variable Numbers of Objects in Clutter,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Hai-Xia, X., Yao-Nan, W., Wei, Z., Jiang, Z., Xiao-Fang, Y.,
Multi-object visual tracking based on reversible jump Markov chain Monte Carlo,
IET-CV(5), No. 5, 2011, pp. 282-290.
DOI Link 1110
BibRef

Jalal, A.S.[Anand Singh], Singh, V.[Vrijendra],
A multi-resolution framework for multi-object tracking in Daubechies complex wavelet domain,
IJCVR(3), No. 1-2, 2012, pp. 52-74.
DOI Link 1204
BibRef

Wood, T.M., Yates, C.A., Wilkinson, D.A., Rosser, G.,
Simplified Multitarget Tracking Using the PHD Filter for Microscopic Video Data,
CirSysVideo(22), No. 5, May 2012, pp. 702-713.
IEEE DOI 1202
BibRef

Seong, Y.M.[Yeol-Min], Park, H.W.[Hyun-Wook],
Multiple target tracking using cognitive data association of spatiotemporal prediction and visual similarity,
PR(45), No. 9, September 2012, pp. 3451-3462.
Elsevier DOI 1206
Change perception; Distinguishability; Motion likelihood field; Multiple target tracking; Recognition process of human BibRef

Hoseinnezhad, R.[Reza], Vo, B.N.[Ba-Ngu], Vo, B.T.[Ba-Tuong], Suter, D.[David],
Visual tracking of numerous targets via multi-Bernoulli filtering of image data,
PR(45), No. 10, October 2012, pp. 3625-3635.
Elsevier DOI 1206
Random finite sets; Multi-target tracking; Visual tracking; Track-before-detect BibRef

Wong, S., Vo, B.T., Papi, F.,
Bernoulli Forward-Backward Smoothing for Track-Before-Detect,
SPLetters(21), No. 6, June 2014, pp. 727-731.
IEEE DOI 1404
Bayes methods BibRef

Koppen, W.P., Worring, M.,
Backtracking: Retrospective multi-target tracking,
CVIU(116), No. 9, September 2012, pp. 967-980.
Elsevier DOI 1208
Surveillance; Tracking; Forensics; A? BibRef

Leichter, I.[Ido], Krupka, E.[Eyal],
Monotonicity and Error Type Differentiability in Performance Measures for Target Detection and Tracking in Video,
PAMI(35), No. 10, 2013, pp. 2553-2560.
IEEE DOI 1309
BibRef
Earlier: CVPR12(2003-2009).
IEEE DOI 1208
Performance evaluation;multiple targets;tracking BibRef

Wang, Y.[Yi], Fang, Y.W.[Ying-Wu], Zhang, J.[Jian], Li, P.Y.[Peng-Yang],
Dezert-Smarandache theory for multiple targets tracking in natural environment,
IET-CV(7), No. 6, December 2013, pp. 456-466.
DOI Link 1402
image colour analysis BibRef

Li, S.X.[Shu-Xiao], Wu, O.[Ou], Zhu, C.F.[Cheng-Fei], Chang, H.X.[Hong-Xing],
Visual object tracking using spatial Context Information and Global tracking skills,
CVIU(125), No. 1, 2014, pp. 1-15.
Elsevier DOI 1406
Object tracking BibRef

Smeulders, A.W.M.[Arnold W.M.], Chu, D.M., Cucchiara, R., Calderara, S., Dehghan, A.[Afshin], Shah, M.[Mubarak],
Visual Tracking: An Experimental Survey,
PAMI(36), No. 7, July 2014, pp. 1442-1468.
IEEE DOI 1407
Educational institutions BibRef

Zamir, A.R.[Amir Roshan], Dehghan, A.[Afshin], Shah, M.[Mubarak],
GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs,
ECCV12(II: 343-356).
Springer DOI 1210

See also UCF Parking Lot Tracking. Video:
WWW Link. BibRef

Oron, S.[Shaul], Bar-Hillel, A.[Aharon], Levi, D.[Dan], Avidan, S.[Shai],
Locally Orderless Tracking,
IJCV(111), No. 2, January 2015, pp. 213-228.
Springer DOI 1502
BibRef
Earlier: CVPR12(1940-1947).
IEEE DOI 1208
BibRef

Park, C., Woehl, T.J., Evans, J.E., Browning, N.D.,
Minimum Cost Multi-Way Data Association for Optimizing Multitarget Tracking of Interacting Objects,
PAMI(37), No. 3, March 2015, pp. 611-624.
IEEE DOI 1502
Linear programming BibRef

Attanasi, A., Cavagna, A., del Castello, L., Giardina, I., Jelic, A., Melillo, S., Parisi, L., Pellacini, F., Shen, E., Silvestri, E., Viale, M.,
GReTA-A Novel Global and Recursive Tracking Algorithm in Three Dimensions,
PAMI(37), No. 12, December 2015, pp. 2451-2463.
IEEE DOI 1512
computational complexity BibRef

Xie, Z.[Zehua], Wei, Z.Z.[Zhen-Zhong], Bai, C.[Chen],
Multi-aircrafts tracking using spatial-temporal constraints-based intra-frame scale-invariant feature transform feature matching,
IET-CV(9), No. 6, 2015, pp. 831-840.
DOI Link 1512
aircraft BibRef

Ruan, Y.[Yang], Wei, Z.Z.[Zhen-Zhong],
Discriminative descriptors for object tracking,
JVCIR(35), No. 1, 2016, pp. 146-154.
Elsevier DOI 1602
Object tracking BibRef

Liu, Y.[Ye], Wang, S.H.[Shuo-Hong], Chen, Y.Q.[Yan Qiu],
Automatic 3D tracking system for large swarm of moving objects,
PR(52), No. 1, 2016, pp. 384-396.
Elsevier DOI 1601
3D tracking BibRef

Wu, Z.[Zheng], Betke, M.[Margrit],
Global optimization for coupled detection and data association in multiple object tracking,
CVIU(143), No. 1, 2016, pp. 25-37.
Elsevier DOI 1601
Sparsity-driven detection BibRef

Wu, Z.[Zheng], Thangali, A.[Ashwin], Sclaroff, S.[Stan], Betke, M.[Margrit],
Coupling detection and data association for multiple object tracking,
CVPR12(1948-1955).
IEEE DOI 1208
BibRef

Chavez-Garcia, R.O., Aycard, O.,
Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking,
ITS(17), No. 2, February 2016, pp. 525-534.
IEEE DOI 1602
Cameras BibRef

Chen, J.H.[Jia-Hui], Sheng, H.[Hao], Li, C.[Chao], Xiong, Z.[Zhang],
PSTG-based multi-label optimization for multi-target tracking,
CVIU(144), No. 1, 2016, pp. 217-227.
Elsevier DOI 1604
Group BibRef

He, Z., Li, X., You, X., Tao, D., Tang, Y.Y.,
Connected Component Model for Multi-Object Tracking,
IP(25), No. 8, August 2016, pp. 3698-3711.
IEEE DOI 1608
Computational modeling BibRef

Yuan, W.[Wenbo], Cao, Z.Q.[Zhi-Qiang], Tan, M.[Min], Chen, H.K.[Hong-Kai],
Multiple-Object Tracking in Large-Scale Scene,
IEICE(E99-D), No. 7, July 2016, pp. 1903-1909.
WWW Link. 1608
BibRef

Wang, X.F.[Xiao-Fang], Gao, B.Y.[Bo-Yang], Masnou, S.[Simon], Chen, L.M.[Li-Ming], Theurkauff, I.[Isaac], Cottin-Bizonne, C.[Cécile], Zhao, Y.Q.[Yu-Qian], Shih, F.[Frank],
Active colloids segmentation and tracking,
PR(60), No. 1, 2016, pp. 177-188.
Elsevier DOI 1609
Multiple objects tracking BibRef

Lin, L., Lu, Y., Li, C., Cheng, H., Zuo, W.,
Detection-Free Multiobject Tracking by Reconfigurable Inference With Bundle Representations,
Cyber(46), No. 11, November 2016, pp. 2447-2458.
IEEE DOI 1609
belief networks BibRef

Xiang, J.[Jun], Sang, N.[Nong], Hou, J.H.[Jian-Hua], Huang, R.[Rui], Gao, C.X.[Chang-Xin],
Multitarget Tracking Using Hough Forest Random Field,
CirSysVideo(26), No. 11, November 2016, pp. 2028-2042.
IEEE DOI 1609
Detectors BibRef

Xiang, J.[Jun], Hou, J.H.[Jian-Hua], Gao, C.X.[Chang-Xin], Sang, N.[Nong],
Data Association Based Multi-target Tracking Using a Joint Formulation,
ACCV16(IV: 240-255).
Springer DOI 1704
BibRef

Huang, S.C.[Shu-Cheng], Jiang, S.[Shuai], Zhu, X.[Xia],
Multi-object tracking via discriminative appearance modeling,
CVIU(153), No. 1, 2016, pp. 77-87.
Elsevier DOI 1612
Multi-object traking BibRef

Kumar, K.C.A.[K.C. Amit], Jacques, L.[Laurent], de Vleeschouwer, C.[Christophe],
Discriminative and Efficient Label Propagation on Complementary Graphs for Multi-Object Tracking,
PAMI(39), No. 1, January 2017, pp. 61-74.
IEEE DOI 1612
BibRef
Earlier: A1, A3, Only:
Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features,
ICCV13(2000-2007)
IEEE DOI 1403
BibRef
Earlier: A1, A3, Only:
Prioritizing the Propagation of Identity Beliefs for Multi-object Tracking,
BMVC12(117).
DOI Link 1301
Feature extraction BibRef

Kumar, K.C.A.[K.C. Amit], Delannay, D.[Damien], Jacques, L.[Laurent], de Vleeschouwer, C.[Christophe],
Iterative Hypothesis Testing for Multi-object Tracking with Noisy/Missing Appearance Features,
DTCE12(II:412-426).
Springer DOI 1304
BibRef

Hung, D.H.[Dao Huu], Tuan, D.A.[Do Anh], Khanh, N.N.[Nguyen Ngoc], Hien, T.D.[Tran Duc], Duong, N.H.[Nguyen Hai],
A Multiple Object Tracking Evaluation Analysis Framework,
ISVC16(I: 167-177).
Springer DOI 1701
BibRef

Ding, R., Yu, M., Oh, H., Chen, W.H.,
New Multiple-Target Tracking Strategy Using Domain Knowledge and Optimization,
SMCS(47), No. 4, April 2017, pp. 605-616.
IEEE DOI 1704
Estimation BibRef

Kalantar, B., Mansor, S.B., Abdul Halin, A., Shafri, H.Z.M., Zand, M.,
Multiple Moving Object Detection From UAV Videos Using Trajectories of Matched Regional Adjacency Graphs,
GeoRS(55), No. 9, September 2017, pp. 5198-5213.
IEEE DOI 1709
background label, background scene, geometric properties, graph sequences, multiple moving object detection, BibRef

Jiang, X.Y.[Xiao-Yan], Simon, M.[Marcel], Yang, Y.[Yuan], Denzler, J.[Joachim],
Multi-marker tracking for large-scale X-ray stereo video data,
SP:IC(59), No. 1, 2017, pp. 140-149.
Elsevier DOI 1711
Multi-object tracking BibRef

Kang, B., Liang, D., Ding, W., Zhou, H., Zhu, W.,
Grayscale-Thermal Tracking via Inverse Sparse Representation-Based Collaborative Encoding,
IP(29), 2020, pp. 3401-3415.
IEEE DOI 2002
Grayscale-thermal tracking, inverse sparse representation, discriminant analysis, feature selection BibRef

Kang, B., Liang, D., Zhang, S.,
Robust visual tracking via multi-view discriminant based sparse representation,
ICIP17(2587-2591)
IEEE DOI 1803
Clutter, Computational modeling, Robustness, Sparse matrices, Target tracking, Video sequences, Visualization, visual tracking BibRef

Cao, X., Jiang, X., Li, X., Yan, P.,
Correlation-Based Tracking of Multiple Targets With Hierarchical Layered Structure,
Cyber(48), No. 1, January 2018, pp. 90-102.
IEEE DOI 1801
Computational modeling, Correlation, Dynamics, Kalman filters, Predictive models, Target tracking, Aerial videos, multiple target tracking (MTT) BibRef

Supreeth, H.S.G., Patil, C.M.[Chandrashekar M.],
Efficient multiple moving object detection and tracking using combined background subtraction and clustering,
SIViP(12), No. 6, September 2018, pp. 1097-1105.
WWW Link. 1808
BibRef

Tang, Y.Z.[Ya-Zhe], Gao, Z.[Zhi], Lin, F.[Feng], Li, Y.F., Wen, F.[Fei],
Visual adaptive tracking for monocular omnidirectional camera,
JVCIR(55), 2018, pp. 253-262.
Elsevier DOI 1809
Visual tracking, Omnidirectional camera, Multi-feature integration BibRef

Chen, T.[Ting], Pennisi, A.[Andrea], Li, Z.[Zhi], Zhang, Y.N.[Yan-Ning], Sahli, H.[Hichem],
A Hierarchical Association Framework for Multi-Object Tracking in Airborne Videos,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Luo, W., Stenger, B., Zhao, X., Kim, T.,
Trajectories as Topics: Multi-Object Tracking by Topic Discovery,
IP(28), No. 1, January 2019, pp. 240-252.
IEEE DOI 1810
image sequences, Markov processes, object detection, object tracking, pattern clustering, video signal processing, Gibbs sampling BibRef

Lim, C.[Chanuk], Gwak, J.[Jeonghwan], Jeon, M.[Moongu],
Configuration of a min-cost flow network for data association in multi-object tracking,
IJCVR(8), No. 6, 2018, pp. 572-590.
DOI Link 1810
BibRef

Li, J.T.[Jia-Tong], Zhao, Y.J.[Yan-Jie], Jiang, Z.G.[Zhi-Guo],
Correlation-guided multi-object tracking with correlation feature transfer,
IET-CV(13), No. 2, March 2019, pp. 139-145.
DOI Link 1902
BibRef

Kim, D.Y.[Du Yong], Vo, B.N.[Ba-Ngu], Vo, B.T.[Ba-Tuong], Jeon, M.[Moongu],
A labeled random finite set online multi-object tracker for video data,
PR(90), 2019, pp. 377-389.
Elsevier DOI 1903
Online multi-object tracking, Track-before-detect, Random finite set BibRef

Baisa, N.L.[Nathanael L.], Wallace, A.[Andrew],
Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking,
JVCIR(59), 2019, pp. 257-271.
Elsevier DOI 1903
Visual tracking, Random finite sets, FISST, Multiple target filtering, PHD filter, N-type GM-PHD filter, OSPA metric BibRef

Jorquera, F.[Felipe], Hernández, S.[Sergio], Vergara, D.[Diego],
Probability hypothesis density filter using determinantal point processes for multi object tracking,
CVIU(183), 2019, pp. 33-41.
Elsevier DOI 1906
BibRef
Earlier:
Multi Target Tracking Using Determinantal Point Processes,
CIARP17(323-330).
Springer DOI 1802
Multi Object Tracking, Determinantal Point Processes, Gaussian Mixture Probability Hypothesis Density Filter BibRef

Dai, P.[Peng], Wang, X.[Xue], Zhang, W.H.[Wei-Hang], Chen, J.F.[Jun-Feng],
Instance Segmentation Enabled Hybrid Data Association and Discriminative Hashing for Online Multi-Object Tracking,
MultMed(21), No. 7, July 2019, pp. 1709-1723.
IEEE DOI 1906
Target tracking, Image segmentation, Trajectory, Detectors, Feature extraction, Motion segmentation, hybrid data association BibRef

Tian, S.[Sheng], Zou, L.[Lian], Fan, C.[Cian], Chen, L.Q.[Li-Qiong],
Weighted correlation filters guidance with spatial-temporal attention for online multi-object tracking,
JVCIR(63), 2019, pp. 102576.
Elsevier DOI 1909
Multi-object tracking, Weighted correlation filters, Tracking by detection, Spatial-temporal attention mechanism BibRef

Sheng, H., Zhang, Y., Chen, J., Xiong, Z., Zhang, J.,
Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking,
CirSysVideo(29), No. 11, November 2019, pp. 3269-3280.
IEEE DOI 1911
Target tracking, Image edge detection, Detectors, Cameras, Trajectory, Task analysis, Multiple object tracking, graph fusion BibRef

Keuper, M.[Margret], Tang, S.[Siyu], Andres, B.[Bjoern], Brox, T.[Thomas], Schiele, B.[Bernt],
Motion Segmentation Multiple Object Tracking by Correlation Co-Clustering,
PAMI(42), No. 1, January 2020, pp. 140-153.
IEEE DOI 1912
Trajectory, Motion segmentation, Correlation, Object tracking, Clustering algorithms, correlation clustering BibRef

Chen, S., Pei, H., Lai, Q., Yan, H.,
Multitarget Tracking Control for Coupled Heterogeneous Inertial Agents Systems Based on Flocking Behavior,
SMCS(49), No. 12, December 2019, pp. 2605-2611.
IEEE DOI 1912
Target tracking, Multi-agent systems, Shape, Protocols, Decentralized control, Robots, Consensus tracking, inertial effect BibRef

Yu, H.Y.[Hao-Yang], An, W.[Wei], Zhu, R.[Ran], Guo, R.B.[Rui-Bin],
A Hypergraph Matching Labeled Multi-Bernoulli Filter for Group Targets Tracking,
IEICE(E102-D), No. 10, October 2019, pp. 2077-2081.
WWW Link. 1912
Tracking closely spaced objects in a formation. BibRef

Wen, L.Y.[Long-Yin], Du, D.W.[Da-Wei], Cai, Z.W.[Zhao-Wei], Lei, Z.[Zhen], Chang, M.C.[Ming-Ching], Qi, H.G.[Hong-Gang], Lim, J.W.[Jong-Woo], Yang, M.H.[Ming-Hsuan], Lyu, S.W.[Si-Wei],
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking,
CVIU(193), 2020, pp. 102907.
Elsevier DOI 2003
Object detection, Object tracking, Benchmark, Evaluation protocol BibRef

Yang, M.[Min], Pei, M.T.[Ming-Tao], Jia, Y.D.[Yun-De],
Online maximum a posteriori tracking of multiple objects using sequential trajectory prior,
IVC(94), 2020, pp. 103867.
Elsevier DOI 2003
Online multi-object tracking, Sequential trajectory prior, Maximum a posteriori, Data association BibRef

Sheng, H., Zhang, Y., Wu, Y., Wang, S., Lyu, W., Ke, W., Xiong, Z.,
Hypothesis Testing Based Tracking With Spatio-Temporal Joint Interaction Modeling,
CirSysVideo(30), No. 9, September 2020, pp. 2971-2983.
IEEE DOI 2009
Target tracking, Trajectory, Testing, Robustness, Feature extraction, Multi-object tracking, tracking-by-detection, interaction modeling BibRef

Wang, H.D.[Hai-Dong], Wang, S.Z.[Sai-Zhou], Lv, J.Y.[Jing-Yi], Hu, C.M.[Chen-Ming], Li, Z.Y.[Zhi-Yong],
Non-local attention association scheme for online multi-object tracking,
IVC(102), 2020, pp. 103983.
Elsevier DOI 2010
Data association, Multi-object tracking, Non-local attention BibRef

Gaglione, D., Soldi, G., Braca, P., de Magistris, G., Meyer, F., Hlawatsch, F.,
Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm,
SPLetters(27), 2020, pp. 1710-1714.
IEEE DOI 2010
Sensors, Probability density function, Target tracking, Manganese, Sum product algorithm, Indexes, Sea measurements, Classification, BibRef

Chandrasekar, K.S.[K. Silpaja], Geetha, P.,
Multiple objects tracking by a highly decisive three-frame differencing-combined-background subtraction method with GMPFM-GMPHD filters and VGG16-LSTM classifier,
JVCIR(72), 2020, pp. 102905.
Elsevier DOI 2010
Tracking, Vehicles, Pedestrians, Gaussian mixture particle filter model, VGG16 and LSTM BibRef

Kumar, A.P.[Aswathy Prasanna], Mishra, D.[Deepak],
Harnessing feedback region proposals for multi-object tracking,
IET-CV(14), No. 7, October 2020, pp. 434-442.
DOI Link 2010
BibRef

Angle, R.B., Streit, R.L., Efe, M.,
Multiple Target Tracking With Unresolved Measurements,
SPLetters(28), 2021, pp. 319-323.
IEEE DOI 2102
Target tracking, Logic gates, Clutter, Sensors, Bayes methods, Standards, Probabilistic logic, Analytic combinatorics, sensor resolution BibRef

Yang, F.[Fan], Chang, X.[Xin], Sakti, S.[Sakriani], Wu, Y.[Yang], Nakamura, S.[Satoshi],
ReMOT: A model-agnostic refinement for multiple object tracking,
IVC(106), 2021, pp. 104091.
Elsevier DOI 2102
Multiple object tracking, refinement BibRef

Luiten, J.[Jonathon], Osep, A.[Aljosa], Dendorfer, P.[Patrick], Torr, P.H.S.[Philip H.S.], Geiger, A.[Andreas], Leal-Taixé, L.[Laura], Leibe, B.[Bastian],
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking,
IJCV(129), No. 2, February 2021, pp. 548-578.
Springer DOI 2102
Evaluation, Tracking. BibRef

Lin, X.F.[Xu-Feng], Li, C.T.[Chang-Tsun], Sanchez, V.[Victor], Maple, C.[Carsten],
On the detection-to-track association for online multi-object tracking,
PRL(146), 2021, pp. 200-207.
Elsevier DOI 2105
Detection-to-track association, Multi-object tracking, Track association BibRef

Zhang, Z.G.[Zhi-Guo], Sun, J.P.[Jin-Ping], Zhou, H.Y.[Hui-Yu], Xu, C.[Congan],
Group Target Tracking Based on MS-MeMBer Filters,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Sun, L.F.[Li-Fan], Yu, H.F.[Hao-Fang], Lan, J.[Jian], Fu, Z.[Zhumu], He, Z.[Zishu], Pu, J.X.[Jie-Xin],
Tracking of Multiple Maneuvering Random Hypersurface Extended Objects Using High Resolution Sensors,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Bicanic, B.[Borna], Markovic, I.[Ivan], Petrovic, I.[Ivan],
Multi-Target Tracking on Riemannian Manifolds via Probabilistic Data Association,
SPLetters(28), 2021, pp. 1555-1559.
IEEE DOI 2108
Manifolds, Target tracking, Geometry, Probabilistic logic, Measurement, Kalman filters, Mathematical model, probabilistic data association BibRef

Liu, X.H.[Xiao-Hu], Luo, Y.C.[Yi-Chuang], Yan, K.D.[Ke-Ding], Chen, J.F.[Jian-Fei], Lei, Z.Y.[Zhi-Yong],
Part-MOT: A multi-object tracking method with instance part-based embedding,
IET-IPR(15), No. 11, 2021, pp. 2521-2531.
DOI Link 2108
BibRef

Pinto, J.[Juliano], Xia, Y.X.[Yu-Xuan], Svensson, L.[Lennart], Wymeersch, H.[Henk],
An Uncertainty-Aware Performance Measure for Multi-Object Tracking,
SPLetters(28), 2021, pp. 1689-1693.
IEEE DOI 2109
Uncertainty, Measurement uncertainty, Measurement, Signal processing algorithms, Density measurement, uncertainty evaluation BibRef

Song, Y.[Yaoye], Zhang, P.[Peng], Huang, W.[Wei], Zha, Y.F.[Yu-Fei], You, T.[Tao], Zhang, Y.N.[Yan-Ning],
Multiple object tracking based on multi-task learning with strip attention,
IET-IPR(15), No. 14, 2021, pp. 3661-3673.
DOI Link 2112
BibRef

Xi, Y.X.[Yan-Xin], Ji, L.[Luyan], Yang, W.[Weitun], Geng, X.R.[Xiu-Rui], Zhao, Y.C.[Yong-Chao],
Multitarget Detection Algorithms for Multitemporal Remote Sensing Data,
GeoRS(60), 2022, pp. 1-15.
IEEE DOI 2112
Remote sensing, Object detection, Detection algorithms, Feature extraction, Tensors, Signal processing algorithms, remote sensing data BibRef

Memon, S.A.[Sufyan Ali], Ullah, I.[Ihsan], Khan, U.[Uzair], Song, T.L.[Taek Lyul],
Smoothing Linear Multi-Target Tracking Using Integrated Track Splitting Filter,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Wang, C.C.[Cong-Chao], Wang, Y.Z.[Yi-Zhi], Yu, G.Q.[Guo-Qiang],
Efficient Global MOT Under Minimum-Cost Circulation Framework,
PAMI(44), No. 4, April 2022, pp. 1888-1904.
IEEE DOI 2203
Multi-Object Tracking. Complexity theory, Search problems, Computational modeling, Data models, Detectors, Inference algorithms, History, object tracking BibRef

He, Y.H.[Yu-Hang], Wei, X.[Xing], Hong, X.P.[Xiao-Peng], Ke, W.[Wei], Gong, Y.H.[Yi-Hong],
Identity-Quantity Harmonic Multi-Object Tracking,
IP(31), 2022, pp. 2201-2215.
IEEE DOI 2203
Target tracking, Trajectory, Tracking, Indexes, Harmonic analysis, Costs, Clustering algorithms, Multi-object tracking, identity-quantity reconciliation BibRef

He, Y.H.[Yu-Hang], Yu, W.T.[Wen-Tao], Han, J.[Jie], Wei, X.[Xing], Hong, X.P.[Xiao-Peng], Gong, Y.H.[Yi-Hong],
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration,
JRDB21(2963-2974)
IEEE DOI 2109
Target tracking, Navigation, Robot vision systems, Object detection, Cameras, Data models BibRef

Yang, J.L.[Jin-Long], Ni, P.[Peng], Miao, J.[Jiani], Ge, H.W.[Hong-Wei],
Improving visual multi-object tracking algorithm via integrating GM-PHD and correlation filter,
IET-IPR(16), No. 5, 2022, pp. 1349-1358.
DOI Link 2203
BibRef

Liang, C.[Chao], Zhang, Z.P.[Zhi-Peng], Zhou, X.[Xue], Li, B.[Bing], Zhu, S.Y.[Shu-Yuan], Hu, W.M.[Wei-Ming],
Rethinking the Competition Between Detection and ReID in Multiobject Tracking,
IP(31), 2022, pp. 3182-3196.
IEEE DOI 2205
Task analysis, Feature extraction, Target tracking, Detectors, Semantics, Object detection, Computational modeling, ID embedding BibRef

Shi, Y.C.[Yu-Chun], Zheng, H.[Hao], Li", K.[Kang],
Data-Driven Joint Beam Selection and Power Allocation for Multiple Target Tracking,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Fan, C.X.[Chun-Xiao], Zhang, R.Q.[Run-Qing], Ming, Y.[Yue],
M-CoTransT: Adaptive spatial continuity in visual tracking,
IET-CV(16), No. 4, 2022, pp. 350-363.
DOI Link 2205
BibRef

Zhang, C.[Chao], Li, Z.Z.[Zheng-Zhou], Zhu, Y.[Yong], Luo, Z.F.[Ze-Feng], Qin, T.Q.[Tian-Qi],
Improved GM-PHD Filter with Birth Intensity and Spawned Intensity Estimation Based on Trajectory Situation Feedback Control,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
Gaussian Mixture Probability Hypothesis Density. Multi-target tracking. BibRef

Wu, H.[Hai], Han, W.K.[Wen-Kai], Wen, C.L.[Cheng-Lu], Li, X.[Xin], Wang, C.[Cheng],
3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association,
ITS(23), No. 6, June 2022, pp. 5668-5677.
IEEE DOI 2206
Tracking, Feature extraction, Detectors, Predictive models, Acceleration, 3D multi-object tracking, point clouds, object detection and tracking BibRef

Wang, H.D.[Hai-Dong], Li, Z.Y.[Zhi-Yong], Li, Y.P.[Ya-Ping], Nai, K.[Ke], Wen, M.[Ming],
STURE: Spatial-Temporal Mutual Representation Learning for robust data association in online multi-object tracking,
CVIU(220), 2022, pp. 103433.
Elsevier DOI 2206
Online multi-object tracking (MOT), Spatial-temporal modeling, Mutual learning, Object association BibRef

Chan, S.X.[Si-Xian], Jia, Y.W.[Yang-Wei], Zhou, X.L.[Xiao-Long], Bai, C.[Cong], Chen, S.Y.[Sheng-Yong], Zhang, X.Q.[Xiao-Qin],
Online multiple object tracking using joint detection and embedding network,
PR(130), 2022, pp. 108793.
Elsevier DOI 2206
One-shot MOT, Joint detection and tracking, YOLO tracker BibRef

Yang, F.[Fan], Wang, Z.[Zheng], Wu, Y.[Yang], Sakti, S.[Sakriani], Nakamura, S.[Satoshi],
Tackling multiple object tracking with complicated motions: Re-designing the integration of motion and appearance,
IVC(124), 2022, pp. 104514.
Elsevier DOI 2208
Multiple object tracking, Data association BibRef

Zhu, Y.[Yun], Mallick, M.[Mahendra], Liang, S.[Shuang], Yan, J.K.[Jun-Kun],
Generalized Labeled Multi-Bernoulli Multi-Target Tracking with Doppler-Only Measurements,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liang, C.D.[Chang-Duo], Ge, M.F.[Ming-Feng], Liu, Z.W.[Zhi-Wei], Wang, Y.W.[Yan-Wu], Li, B.[Bo],
Multitarget Tracking for Multiple Lagrangian Plants With Input-to-Output Redundancy and Sampled-Data Interactions,
SMCS(52), No. 9, September 2022, pp. 5611-5622.
IEEE DOI 2208
Redundancy, Target tracking, IEC, Vehicle dynamics, Heuristic algorithms, Geology, Mechanical engineering, multitarget tracking BibRef

Wu, H.[Han], Nie, J.H.[Jia-Hao], He, Z.W.[Zhi-Wei], Zhu, Z.M.[Zi-Ming], Gao, M.Y.[Ming-Yu],
One-Shot Multiple Object Tracking in UAV Videos Using Task-Specific Fine-Grained Features,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhu, P.F.[Peng-Fei], Wen, L.Y.[Long-Yin], Du, D.W.[Da-Wei], Bian, X.[Xiao], Fan, H.[Heng], Hu, Q.H.[Qing-Hua], Ling, H.B.[Hai-Bin],
Detection and Tracking Meet Drones Challenge,
PAMI(44), No. 11, November 2022, pp. 7380-7399.
IEEE DOI 2210
Drones, Object detection, Conferences, Benchmark testing, Surveillance, Target tracking, Drone, benchmark, multi-object tracking BibRef

Kong, J.[Jun], Mo, E.[Ensen], Jiang, M.[Min], Liu, T.S.[Tian-Shan],
MOTFR: Multiple Object Tracking Based on Feature Recoding,
CirSysVideo(32), No. 11, November 2022, pp. 7746-7757.
IEEE DOI 2211
Feature extraction, Task analysis, Trajectory, Optimization, Target tracking, Convolution, Data mining, Multi-object tracking, trajectory complement BibRef

Chung, T.Y.[Tae-Young], Cho, M.[MyeongAh], Lee, H.[Heansung], Lee, S.Y.[Sang-Youn],
SSAT: Self-Supervised Associating Network for Multiobject Tracking,
CirSysVideo(32), No. 11, November 2022, pp. 7858-7868.
IEEE DOI 2211
Target tracking, Feature extraction, Task analysis, Training, Visualization, Training data, Benchmark testing, self-supervised learning BibRef

Cao, C.[Chenghu], Zhao, Y.[Yongbo],
A Multi-Frame GLMB Smoothing Based on the Image-Observation Sensor for Tracking Multiple Weak Targets Using Belief Propagation,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Mandel, T.[Travis], Jimenez, M.[Mark], Risley, E.[Emily], Nammoto, T.[Taishi], Williams, R.[Rebekka], Panoff, M.[Max], Ballesteros, M.[Meynard], Suarez, B.[Bobbie],
Detection confidence driven multi-object tracking to recover reliable tracks from unreliable detections,
PR(135), 2023, pp. 109107.
Elsevier DOI 2212
Multi-object tracking, Model uncertainty, Performance evaluation, Scarce data, Dataset, Marine science applications BibRef

Hong, Y.[Yong], Li, D.R.[De-Ren], Luo, S.[Shupei], Chen, X.[Xin], Yang, Y.[Yi], Wang, M.[Mi],
An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Xu, Y.[Yuan], Chen, Y.Y.[You-Yuan], Zhang, Y.[Yang], Zhu, Q.X.[Qun-Xiong], He, Y.L.[Yan-Lin], Sheng, H.[Hao],
Bilateral association tracking with parzen window density estimation,
IET-IPR(17), No. 1, 2023, pp. 274-290.
DOI Link 2301
BibRef

Li, Y.F.[Yi-Fan], Ji, H.B.[Hong-Bing], Chen, X.[Xi], Lai, Y.K.[Yu-Kun], Yang, Y.L.[Yong-Liang],
Multi-object tracking with robust object regression and association,
CVIU(227), 2023, pp. 103586.
Elsevier DOI 2301
Multi-object tracking, Tracking-by-regression, Regression tubes, Spatial-temporal information BibRef

Li, Y.S.[Yuan-Sheng], Wei, P.[Ping], You, M.Y.[Ming-Yi], Wei, Y.[Yifan], Zhang, H.G.[Hua-Guo],
Joint Detection, Tracking, and Classification of Multiple Extended Objects Based on the JDTC-PMBM-GGIW Filter,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Xu, Y.H.[Yi-Hong], Ban, Y.T.[Yu-Tong], Delorme, G.[Guillaume], Gan, C.[Chuang], Rus, D.[Daniela], Alameda-Pineda, X.[Xavier],
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking,
PAMI(45), No. 6, June 2023, pp. 7820-7835.
IEEE DOI 2305
Transformers, Feature extraction, Task analysis, Detectors, Heating systems, Decoding, Multiple-object tracking, sparse tracking queries BibRef

Yang, Z.Y.[Zhi-Yuan], Li, X.Q.[Xiang-Qian], Yao, X.[Xianxun], Sun, J.P.[Jin-Ping], Shan, T.[Tao],
Gaussian Process Gaussian Mixture PHD Filter for 3D Multiple Extended Target Tracking,
RS(15), No. 13, 2023, pp. 3224.
DOI Link 2307
BibRef

Ding, Y.Q.[Yu-Qing], Sun, Y.P.[Yan-Peng], Li, Z.[Zechao],
Who is partner: A new perspective on data association of multi-object tracking,
IVC(136), 2023, pp. 104737.
Elsevier DOI 2308
Data association, Multi-object tracking, Kalman filter BibRef

Deng, K.Y.[Ke-Yu], Zhang, C.X.[Cong-Xuan], Chen, Z.[Zhen], Hu, W.M.[Wei-Ming], Li, B.[Bing], Lu, F.[Feng],
Jointing Recurrent Across-Channel and Spatial Attention for Multi-Object Tracking With Block-Erasing Data Augmentation,
CirSysVideo(33), No. 8, August 2023, pp. 4054-4069.
IEEE DOI 2308
Target tracking, Task analysis, Feature extraction, Representation learning, Detectors, Robustness, Training, object occlusions BibRef

Zhu, T.Y.[Tian-Yu], Hiller, M.[Markus], Ehsanpour, M.[Mahsa], Ma, R.[Rongkai], Drummond, T.W.[Tom W.], Reid, I.D.[Ian D.], Rezatofighi, H.[Hamid],
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers,
PAMI(45), No. 11, November 2023, pp. 12783-12797.
IEEE DOI 2310
BibRef

Li, S.[Shuai], Kong, Y.[Yu], Rezatofighi, H.[Hamid],
Learning of Global Objective for Network Flow in Multi-Object Tracking,
CVPR22(8845-8855)
IEEE DOI 2210
Training, Tracking, Pose estimation, Object detection, Benchmark testing, Cost function, Motion and tracking, Video analysis and understanding BibRef

Gao, J.Y.[Jia-Yan], Zou, Q.[Qi], Zhao, H.W.[Hong-Wei],
Multiple object tracking based on quadratic graph matching,
IET-CV(17), No. 6, 2023, pp. 626-637.
DOI Link 2310
graph theory, object tracking, tracking BibRef

Huang, M.Z.[Ming-Zhen], Li, X.X.[Xiao-Xing], Hu, J.[Jun], Peng, H.H.[Hong-Hong], Lyu, S.W.[Si-Wei],
Tracking Multiple Deformable Objects in Egocentric Videos,
CVPR23(1461-1471)
IEEE DOI 2309
BibRef

Zhang, C.[Ce], Zhang, C.J.[Cheng-Jie], Guo, Y.[Yiluan], Chen, L.[Lingji], Happold, M.[Michael],
MotionTrack: End-to-End Transformer-based Multi-Object Tracking with LiDAR-Camera Fusion,
WAD23(151-160)
IEEE DOI 2309
BibRef

Cao, J.[Jinkun], Pang, J.M.[Jiang-Miao], Weng, X.[Xinshuo], Khirodkar, R.[Rawal], Kitani, K.[Kris],
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking,
CVPR23(9686-9696)
IEEE DOI 2309
BibRef

Ren, H.[Hao], Han, S.[Shoudong], Ding, H.L.[Hui-Lin], Zhang, Z.[Ziwen], Wang, H.W.[Hong-Wei], Wang, F.Q.[Fa-Quan],
Focus On Details: Online Multi-Object Tracking with Diverse Fine-Grained Representation,
CVPR23(11289-11298)
IEEE DOI 2309
BibRef

Seidenschwarz, J.[Jenny], Brasó, G.[Guillem], Serrano, V.C.[Victor Castro], Elezi, I.[Ismail], Leal-Taixé, L.[Laura],
Simple Cues Lead to a Strong Multi-Object Tracker,
CVPR23(13813-13823)
IEEE DOI 2309
BibRef

Wu, D.M.[Dong-Ming], Han, W.C.[Wen-Cheng], Wang, T.[Tiancai], Dong, X.P.[Xing-Ping], Zhang, X.Y.[Xiang-Yu], Shen, J.B.[Jian-Bing],
Referring Multi-Object Tracking,
CVPR23(14633-14642)
IEEE DOI 2309
BibRef

Li, S.Y.[Si-Yuan], Fischer, T.[Tobias], Ke, L.[Lei], Ding, H.H.[Heng-Hui], Danelljan, M.[Martin], Yu, F.[Fisher],
OVTrack: Open-Vocabulary Multiple Object Tracking,
CVPR23(5567-5577)
IEEE DOI 2309
BibRef

Wu, Y.[Yubin], Sheng, H.[Hao], Wang, S.[Shuai], Liu, Y.[Yang], Xiong, Z.[Zhang], Ke, W.[Wei],
Group Guided Data Association for Multiple Object Tracking,
ACCV22(VII:485-500).
Springer DOI 2307
BibRef

Pang, Z.Q.[Zi-Qi], Li, Z.C.[Zhi-Chao], Wang, N.[Naiyan],
Simpletrack: Understanding and Rethinking 3d Multi-object Tracking,
AVVision22(680-696).
Springer DOI 2304
BibRef

Yin, Y.H.[Yuan-Hang], Hua, Y.[Yang], Song, T.[Tao], Ma, R.[Ruhui], Guan, H.B.[Hai-Bing],
Self-supervised Multi-object Tracking with Cycle-consistency,
MMMod23(II: 483-495).
Springer DOI 2304
BibRef

Touska, D.[Despoina], Gkountakos, K.[Konstantinos], Tsikrika, T.[Theodora], Ioannidis, K.[Konstantinos], Vrochidis, S.[Stefanos], Kompatsiaris, I.[Ioannis],
Graph-based Data Association in Multiple Object Tracking: A Survey,
MMMod23(II: 386-398).
Springer DOI 2304
BibRef

Yang, F.[Fan], Odashima, S.[Shigeyuki], Masui, S.[Shoichi], Jiang, S.[Shan],
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space,
WACV23(4788-4797)
IEEE DOI 2302
Tracking, Motion estimation, Object tracking, Algorithms: Video recognition and understanding. BibRef

Chu, P.[Peng], Wang, J.[Jiang], You, Q.Z.[Quan-Zeng], Ling, H.B.[Hai-Bin], Liu, Z.C.[Zi-Cheng],
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking,
WACV23(4859-4869)
IEEE DOI 2302
Target tracking, Computational modeling, Benchmark testing, Transformers, Trajectory, Decoding BibRef

Hyun, J.[Jeongseok], Kang, M.G.[Myung-Gu], Wee, D.Y.[Dong-Yoon], Yeung, D.Y.[Dit-Yan],
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker,
WACV23(4839-4848)
IEEE DOI 2302
Target tracking, Codes, Image edge detection, Feature extraction, Robustness, Real-time systems BibRef

Hubei, F.L.[Fuxin Liu], Zhang, Y.[Yanduo], Li, X.[Xun],
Multiple Dynamic Object Tracking for Visual SLAM,
ICRVC22(49-55)
IEEE DOI 2301
Geometry, Visualization, Simultaneous localization and mapping, Target tracking, Estimation, Cameras, Object tracking, Visual SLAM, Pose Estimation BibRef

Vaquero, L.[Lorenzo], Brea, V.M.[Víctor M.], Mucientes, M.[Manuel],
Fast Multi-Object Tracking with Feature Pyramid and Region Proposal Networks,
ICPR22(3485-3491)
IEEE DOI 2212
Visualization, Target tracking, Semantics, Benchmark testing, Feature extraction, Search problems, Real-time systems BibRef

Zhang, X.[Xin], Gao, S.[Song], Yang, Y.Z.[Yuan-Zhe], Chu, C.X.[Cheng-Xiang], Zhou, Z.[Zhong],
Head Point Positioning and Spatial-Channel Self-Attention Network for Multi-Object Tracking,
ICPR22(3500-3506)
IEEE DOI 2212
Measurement, Head, Surveillance, Object detection, Feature extraction, Trajectory BibRef

Pedersen, M.[Malte], Haurum, J.B.[Joakim Bruslund], Dendorfer, P.[Patrick], Moeslund, T.B.[Thomas B.],
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric,
ECCV22(VIII:20-37).
Springer DOI 2211
BibRef

Li, S.Y.[Si-Yuan], Danelljan, M.[Martin], Ding, H.H.[Heng-Hui], Huang, T.E.[Thomas E.], Yu, F.[Fisher],
Tracking Every Thing in the Wild,
ECCV22(XXII:498-515).
Springer DOI 2211
BibRef

Kim, A.[Aleksandr], Brasó, G.[Guillem], Ošep, A.[Aljoša], Leal-Taixé, L.[Laura],
PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?,
ECCV22(XXII:41-58).
Springer DOI 2211
BibRef

Zhang, Y.[Yifu], Wang, C.Y.[Chun-Yu], Wang, X.G.[Xing-Gang], Zeng, W.J.[Wen-Jun], Liu, W.Y.[Wen-Yu],
Robust Multi-object Tracking by Marginal Inference,
ECCV22(XXII:22-40).
Springer DOI 2211
BibRef

Zhang, Y.[Yifu], Sun, P.[Peize], Jiang, Y.[Yi], Yu, D.D.[Dong-Dong], Weng, F.[Fucheng], Yuan, Z.H.[Ze-Huan], Luo, P.[Ping], Liu, W.Y.[Wen-Yu], Wang, X.G.[Xing-Gang],
ByteTrack: Multi-object Tracking by Associating Every Detection Box,
ECCV22(XXII:1-21).
Springer DOI 2211
BibRef

Yan, B.[Bin], Jiang, Y.[Yi], Sun, P.[Peize], Wang, D.[Dong], Yuan, Z.H.[Ze-Huan], Luo, P.[Ping], Lu, H.C.[Hu-Chuan],
Towards Grand Unification of Object Tracking,
ECCV22(XXI:733-751).
Springer DOI 2211
BibRef

Lee, H.[Heansung], Cho, S.[Suhwan], Jang, S.J.[Sung-Jun], Lee, J.[Jungho], Woo, S.[Sungmin], Lee, S.Y.[Sang-Youn],
Detection-Identification Balancing Margin Loss for One-Stage Multi-Object Tracking,
ICIP22(3081-3085)
IEEE DOI 2211
Feature extraction, Real-time systems, Object recognition, Task analysis, Multi-object tracking, one-shot, Real-time tracker BibRef

Li, S.[Shaohan], Shi, Y.P.[Yun-Peng], Lerman, G.[Gilad],
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization,
CVPR22(15714-15722)
IEEE DOI 2210
Scalability, Message passing, Memory management, Estimation, Classification algorithms, Synchronization, Sparse matrices, 3D from multi-view and sensors BibRef

Zaech, J.N.[Jan-Nico], Liniger, A.[Alexander], Danelljan, M.[Martin], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
Adiabatic Quantum Computing for Multi Object Tracking,
CVPR22(8801-8812)
IEEE DOI 2210
Integer programming, Quantum computing, Current measurement, Quantum mechanics, Optimization methods, Object detection, Optimization methods BibRef

Ahmar, W.A.E.[Wassim A. El], Kolhatkar, D.[Dhanvin], Nowruzi, F.E.[Farzan Erlik], AlGhamdi, H.[Hamzah], Hou, J.[Jonathan], Laganiere, R.[Robert],
Multiple Object Detection and Tracking in the Thermal Spectrum,
PBVS22(276-284)
IEEE DOI 2210
Machine vision, Pipelines, Lighting, Object detection, Detectors, Streaming media BibRef

Meinhardt, T.[Tim], Kirillov, A.[Alexander], Leal-Taixé, L.[Laura], Feichtenhofer, C.[Christoph],
TrackFormer: Multi-Object Tracking with Transformers,
CVPR22(8834-8844)
IEEE DOI 2210
Tracking, Motion segmentation, Video sequences, Predictive models, Transformers, Trajectory, Video analysis and understanding BibRef

Cai, J.R.[Jia-Rui], Xu, M.Z.[Ming-Ze], Li, W.[Wei], Xiong, Y.J.[Yuan-Jun], Xia, W.[Wei], Tu, Z.W.[Zhuo-Wen], Soatto, S.[Stefano],
MeMOT: Multi-Object Tracking with Memory,
CVPR22(8080-8090)
IEEE DOI 2210
Location awareness, Object detection, Transformer cores, Transformers, Regulation, Proposals, Task analysis, Pose estimation and tracking BibRef

Sun, P.[Peize], Cao, J.[Jinkun], Jiang, Y.[Yi], Yuan, Z.H.[Ze-Huan], Bai, S.[Song], Kitani, K.[Kris], Luo, P.[Ping],
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion,
CVPR22(20961-20970)
IEEE DOI 2210
Location awareness, Visualization, Tracking, Pipelines, Object detection, Detectors, Benchmark testing, Motion and tracking BibRef

Lo Presti, L.[Liliana], Mazzola, G.[Giuseppe], Averna, G.[Guido], Ardizzone, E.[Edoardo], La Cascia, M.[Marco],
Depth-Aware Multi-object Tracking in Spherical Videos,
CIAP22(III:362-374).
Springer DOI 2205
BibRef

Xu, Z.B.[Zhen-Bo], Meng, A.[Ajin], Shi, Z.B.[Zhen-Bo], Yang, W.[Wei], Chen, Z.[Zhi], Huang, L.S.[Liu-Sheng],
Continuous Copy-Paste for One-stage Multi-object Tracking and Segmentation,
ICCV21(15303-15312)
IEEE DOI 2203
Training, Bridges, Codes, Annotations, Performance gain, Data mining, Vision for robotics and autonomous vehicles, Video analysis and understanding BibRef

Hornakova, A.[Andrea], Kaiser, T.[Timo], Swoboda, P.[Paul], Rolinek, M.[Michal], Rosenhahn, B.[Bodo], Henschel, R.[Roberto],
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths,
ICCV21(6310-6320)
IEEE DOI 2203
multiple object tracking. Costs, Message passing, Computational modeling, Benchmark testing, Complexity theory, Object tracking, Motion and tracking BibRef

Choudhuri, A.[Anwesa], Chowdhary, G.[Girish], Schwing, A.G.[Alexander G.],
Assignment-Space-based Multi-Object Tracking and Segmentation,
ICCV21(13578-13587)
IEEE DOI 2203
Costs, Object detection, Dynamic programming, Task analysis, Motion and tracking, Video analysis and understanding, Vision for robotics and autonomous vehicles BibRef

Cai, J.R.[Jia-Rui], Wang, Y.Z.[Yi-Zhou], Hsu, H.M.[Hung-Min], Zhang, H.T.[Hao-Tian], Hwang, J.N.[Jenq-Neng],
DIOR: DIstill Observations to Representations for Multi-Object Tracking and Segmentation,
RWSurvil22(520-529)
IEEE DOI 2202
Target tracking, Motion segmentation, Conferences, Benchmark testing, Feature extraction, Security, Data mining BibRef

Shi, Y.P.[Yun-Peng], Li, S.H.[Shao-Han], Maunu, T.[Tyler], Lerman, G.[Gilad],
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching,
3DV21(352-360)
IEEE DOI 2201
Matched filters, Structure from motion, Filtering, decentralized algorithms, Image edge detection, Pipelines, FCC, image matching BibRef

Yang, C.H.H.[C.H. Huck], Chhabra, M.[Mohit], Liu, Y.C., Kong, Q.[Quan], Yoshinaga, T.[Tomoaki], Murakami, T.[Tomokazu],
Robust Unsupervised Multi-Object Tracking In Noisy Environments,
ICIP21(2239-2243)
IEEE DOI 2201
Degradation, Visualization, Image processing, Games, Benchmark testing, Cameras, Multi-object tracking, Robust representation learning BibRef

Moskalev, A.[Artem], Sosnovik, I.[Ivan], Smeulders, A.[Arnold],
Relational Prior for Multi-Object Tracking,
VIPriors21(1081-1085)
IEEE DOI 2112
Message passing, Benchmark testing, Encoding, Trajectory BibRef

Bai, H.X.[He-Xin], Cheng, W.[Wensheng], Chu, P.[Peng], Liu, J.[Juehuan], Zhang, K.[Kai], Ling, H.B.[Hai-Bin],
GMOT-40: A Benchmark for Generic Multiple Object Tracking,
CVPR21(6715-6724)
IEEE DOI 2111
Target tracking, Protocols, Benchmark testing, Pattern recognition, Object tracking BibRef

Guo, S.[Song], Wang, J.Y.[Jing-Ya], Wang, X.C.[Xin-Chao], Tao, D.C.[Da-Cheng],
Online Multiple Object Tracking with Cross-Task Synergy,
CVPR21(8132-8141)
IEEE DOI 2111
Codes, Interference, Predictive models, Benchmark testing, Reliability engineering, Robustness BibRef

Wang, Q.[Qiang], Zheng, Y.[Yun], Pan, P.[Pan], Xu, Y.H.[Ying-Hui],
Multiple Object Tracking with Correlation Learning,
CVPR21(3875-3885)
IEEE DOI 2111
Correlation, Target tracking, Computational modeling, Layout, Dynamics, Feature extraction BibRef

Zheng, L.Y.[Lin-Yu], Tang, M.[Ming], Chen, Y.Y.[Ying-Ying], Zhu, G.B.[Gui-Bo], Wang, J.Q.[Jin-Qiao], Lu, H.Q.[Han-Qing],
Improving Multiple Object Tracking with Single Object Tracking,
CVPR21(2453-2462)
IEEE DOI 2111
Target tracking, Object detection, Detectors, Benchmark testing, Feature extraction, Pattern recognition BibRef

Nie, Y.Y.[Yin-Yu], Dai, A.[Angela], Han, X.G.[Xiao-Guang], Nießner, M.[Matthias],
Pose2Room: Understanding 3D Scenes from Human Activities,
ECCV22(XXVII:425-443).
Springer DOI 2211
BibRef

Valverde, F.R.[Francisco Rivera], Hurtado, J.V.[Juana Valeria], Valada, A.[Abhinav],
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge,
CVPR21(11607-11616)
IEEE DOI 2111
Training, Visualization, Object detection, Robustness, Pattern recognition, Task analysis, Spectrogram BibRef

Fischer, T.[Tobias], Huang, T.E.[Thomas E.], Pang, J.M.[Jiang-Miao], Qiu, L.[Linlu], Chen, H.F.[Hao-Feng], Darrell, T.J.[Trevor J.], Yu, F.[Fisher],
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking,
PAMI(45), No. 12, December 2023, pp. 15380-15393.
IEEE DOI 2311
BibRef

Pang, J.M.[Jiang-Miao], Qiu, L.[Linlu], Li, X.[Xia], Chen, H.F.[Hao-Feng], Li, Q.[Qi], Darrell, T.J.[Trevor J.], Yu, F.[Fisher],
Quasi-Dense Similarity Learning for Multiple Object Tracking,
CVPR21(164-173)
IEEE DOI 2111
Training, Image segmentation, Codes, Training data, Detectors, Nearest neighbor methods BibRef

Erkent, Ö.[Özgür], Gonzalez, D.S.[David Sierra], Paigwar, A.[Anshul], Laugier, C.[Christian],
GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids,
CVS21(180-194).
Springer DOI 2109
BibRef

Zhao, K.[Kaikai], Imaseki, T.[Takashi], Mouri, H.[Hiroshi], Suzuki, E.[Einoshin], Matsukawa, T.[Tetsu],
From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking,
ICPR21(2506-2513)
IEEE DOI 2105
Couplings, Uncertainty, Measurement uncertainty, Merging, Object tracking, Kalman filters BibRef

Mykheievskyi, D.[Dmytro], Borysenko, D.[Dmytro], Porokhonskyy, V.[Viktor],
Learning Local Feature Descriptors for Multiple Object Tracking,
ACCV20(II:558-575).
Springer DOI 2103
BibRef

Qi, S.H.[Shuai-Hui],
Multiple Target Tracking Based on Position Matching and Feature Correlation,
CVIDL20(140-144)
IEEE DOI 2102
feature extraction, image matching, object tracking, target tracking, position matching, feature correlation, Feature Correlation BibRef

Guccione, D.E., Thoeni, K., Giacomini, A., Buzzi, O., Fityus, S.,
Efficient Multi-view 3d Tracking of Arbitrary Rock Fragments Upon Impact,
ISPRS20(B2:589-596).
DOI Link 2012
BibRef

Sun, S.J.[Shi-Jie], Akhtar, N.[Naveed], Song, X.Y.[Xiang-Yu], Song, H.S.[Huan-Sheng], Mian, A.[Ajmal], Shah, M.[Mubarak],
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking,
ECCV20(XXIV:626-643).
Springer DOI 2012
BibRef

Chou, Y.S., Wang, C.Y., Lin, S.D., Liao, H.Y.M.,
How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS),
ICIP20(2086-2090)
IEEE DOI 2011
Feature extraction, Automobiles, Target tracking, Image segmentation, Machine learning, Semantics, Computer vision BibRef

Zhong, X., Tan, M., Ruan, W., Huang, W., Xie, L., Yuan, J.,
Dual-Direction Perception and Collaboration Network for Near-Online Multi-Object Tracking,
ICIP20(2111-2115)
IEEE DOI 2011
Proposals, Collaboration, Tracking, Benchmark testing, Delays, Streaming media, Multi-object Tracking, Near-online, Batch BibRef

Peng, J.L.[Jin-Long], Wang, C.G.[Chan-Gan], Wan, F.B.[Fang-Bin], Wu, Y.[Yang], Wang, Y.B.[Ya-Biao], Tai, Y.[Ying], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue], Fu, Y.W.[Yan-Wei],
Chained-tracker: Chaining Paired Attentive Regression Results for End-to-end Joint Multiple-object Detection and Tracking,
ECCV20(IV:145-161).
Springer DOI 2011
BibRef

Yin, J., Wang, W., Meng, Q., Yang, R., Shen, J.,
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking,
CVPR20(6767-6776)
IEEE DOI 2008
Computational modeling, Task analysis, Target tracking, Feature extraction, Training BibRef

Pang, B., Li, Y., Zhang, Y., Li, M., Lu, C.,
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model,
CVPR20(6307-6317)
IEEE DOI 2008
Task analysis, Target tracking, Feature extraction, Electron tubes, Training BibRef

Huang, Y., Zhu, F., Zeng, Z., Qiu, X., Shen, Y., Wu, J.,
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking,
CVPR20(8303-8311)
IEEE DOI 2008
Trajectory, Target tracking, Optimization, Feature extraction, Task analysis, Current measurement BibRef

Athar, A.[Ali], Mahadevan, S.[Sabarinath], Osep, A.[Aljosa], Leal-Taixé, L.[Laura], Leibe, B.[Bastian],
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos,
ECCV20(XI:158-177).
Springer DOI 2011
Code, Tracking.
WWW Link. BibRef

Gonzalez, N.F.[Nicolas Franco], Ospina, A.[Andres], Calvez, P.[Philippe],
SMAT: Smart Multiple Affinity Metrics for Multiple Object Tracking,
ICIAR20(II:48-62).
Springer DOI 2007
BibRef

Li, J., Gao, X., Jiang, T.,
Graph Networks for Multiple Object Tracking,
WACV20(708-717)
IEEE DOI 2006
Image edge detection, Feature extraction, Object tracking, Optimization, Pipelines, Task analysis BibRef

Zhang, W., Zhou, H., Sun, S., Wang, Z., Shi, J., Loy, C.C.,
Robust Multi-Modality Multi-Object Tracking,
ICCV19(2365-2374)
IEEE DOI 2004
Code, Tracking.
WWW Link. feature extraction, image fusion, object detection, object tracking, target tracking, multiple sensors, Robustness BibRef

Xu, J., Cao, Y., Zhang, Z., Hu, H.,
Spatial-Temporal Relation Networks for Multi-Object Tracking,
ICCV19(3987-3997)
IEEE DOI 2004
image representation, object tracking, spatial-temporal relation network, multiobject tracking, Training BibRef

Meirovitch, Y.[Yaron], Mi, L.[Lu], Saribekyan, H.[Hayk], Matveev, A.[Alexander], Rolnick, D.[David], Shavit, N.[Nir],
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics,
CVPR19(8417-8427).
IEEE DOI 2002
BibRef

Voigtlaender, P.[Paul], Krause, M.[Michael], Osep, A.[Aljosa], Luiten, J.[Jonathon], Sekar, B.B.G.[Berin Balachandar Gnana], Geiger, A.[Andreas], Leibe, B.[Bastian],
MOTS: Multi-Object Tracking and Segmentation,
CVPR19(7934-7943).
IEEE DOI 2002
BibRef

Kate, P., Francis, M., Guha, P.,
Visual Tracking with Breeding Fireflies using Brightness from Background-Foreground Information,
ICPR18(2570-2575)
IEEE DOI 1812
Brightness, Sociology, Statistics, Computational modeling, Proposals, Color, Target tracking BibRef

Bozek, K., Hebert, L., Mikheyev, A.S., Stephens, G.J.,
Towards Dense Object Tracking in a 2D Honeybee Hive,
CVPR18(4185-4193)
IEEE DOI 1812
Labeling, Video recording, Object tracking, Image recognition, Image resolution, Light emitting diodes BibRef

Karmaker, D.[Debajyoti], Schiffner, I.[Ingo], Wilson, M.[Michael], Srinivasan, M.V.[Mandyam V.],
The Bird Gets Caught by the WORM: Tracking Multiple Deformable Objects in Noisy Environments Using Weight ORdered Logic Maps,
ISVC18(332-343).
Springer DOI 1811
BibRef

Ullah, M., Cheikh, F.A.,
A Directed Sparse Graphical Model for Multi-target Tracking,
CVSports18(1897-18977)
IEEE DOI 1812
Hidden Markov models, Target tracking, Mathematical model, Reliability, Optimization, Trajectory, Dynamic programming, Dynamic programming BibRef

Zhu, J.[Ji], Yang, H.[Hua], Liu, N.[Nian], Kim, M.Y.[Min-Young], Zhang, W.J.[Wen-Jun], Yang, M.H.[Ming-Hsuan],
Online Multi-Object Tracking with Dual Matching Attention Networks,
ECCV18(VI: 379-396).
Springer DOI 1810
BibRef

Al-Shakarji, N.M., Seetharaman, G., Bunyak, F., Palaniappan, K.,
Robust multi-object tracking with semantic color correlation,
AVSS17(1-7)
IEEE DOI 1806
image colour analysis, object detection, object tracking, traffic engineering computing, Tracking BibRef

Boragule, A., Jeon, M.,
Joint cost minimization for multi-object tracking,
AVSS17(1-6)
IEEE DOI 1806
image sequences, minimisation, object detection, object tracking, probability, abrupt motion, detection-to-track, Trajectory BibRef

Li, W., Powers, D.,
Multiple Object Tracking Using Motion Vectors from Compressed Video,
DICTA17(1-5)
IEEE DOI 1804
data compression, feature extraction, image motion analysis, image segmentation, motion estimation, object tracking, Trajectory BibRef

Stamatescu, V.[Victor], Barsznica, P.[Peter], Kim, M.J.[Man-Jung], Liu, K.K.[Kin K.], McKenzie, M.[Mark], Meakin, W.[Will], Saunders, G.[Gwilyn], Wong, S.C.[Sebastien C.], Brinkworth, R.S.A.[Russell S. A.],
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision,
DICTA17(1-8)
IEEE DOI 1804
Dataset, centroids annotated. image motion analysis, image retrieval, image sensors, object detection, video signal processing, BibRef

Nadeem, S., Rahman, A., Butt, A.A.,
A Framework to Combine Multi-Object Video Segmentation and Tracking,
DICTA17(1-7)
IEEE DOI 1804
image colour analysis, image segmentation, image sequences, iterative methods, object detection, object tracking, Trajectory BibRef

Ullah, M., Mohammed, A.K., Cheikh, F.A., Wang, Z.,
A hierarchical feature model for multi-target tracking,
ICIP17(2612-2616)
IEEE DOI 1803
Bayes methods, Dictionaries, Feature extraction, Matching pursuit algorithms, Optimization, Target tracking, sparse representation BibRef

Liu, P.X.[Pei-Xin], Li, X.F.[Xiao-Feng], Feng, H.Y.[Hao-Yang], Fu, Z.Z.[Zhi-Zhong],
Multi-object tracking by virtual nodes added min-cost network flow,
ICIP17(2577-2581)
IEEE DOI 1803
Benchmark testing, Estimation, Linear programming, Object tracking, Target tracking, Trajectory, network flow, object tracking, virtual node BibRef

Taalimi, A., Liu, L., Qi, H.,
Addressing ambiguity in multi-target tracking by hierarchical strategy,
ICIP17(3635-3639)
IEEE DOI 1803
Detectors, Image edge detection, Reliability, Switches, Target tracking, Trajectory, Generic object detector, Visual Tracking BibRef

Chen, N.[Nan], Li, X.W.[Xing-Wei], Zheng, Y.B.[Yong-Bin], Bai, S.J.[Sheng-Jian],
An improved multiple object tracking algorithm of GMMCP,
ICIVC17(428-431)
IEEE DOI 1708
Computational modeling, Linear programming, Manganese, Silicon, Target tracking, GMMCP, MBIP, MOT, real-node, item BibRef

Pu, S.[Shi], Zhang, H.G.[Hong-Gang], Zhao, K.[Kaili],
Structure and appearance preserving network flow for multi-object tracking,
ICPR16(1804-1808)
IEEE DOI 1705
Computational modeling, Image edge detection, Nickel, Optical variables measurement, Optimization, Proposals, Telecommunications BibRef

Yu, S.I., Meng, D., Zuo, W., Hauptmann, A.G.[Alexander G.],
The Solution Path Algorithm for Identity-Aware Multi-object Tracking,
CVPR16(3871-3879)
IEEE DOI 1612
BibRef

Ji, P., Li, H., Salzmann, M., Zhong, Y.,
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach,
CVPR16(3843-3851)
IEEE DOI 1612
BibRef

Kim, H.U.[Han-Ul], Kim, C.S.[Chang-Su],
CDT: Cooperative Detection and Tracking for Tracing Multiple Objects in Video Sequences,
ECCV16(VI: 851-867).
Springer DOI 1611
BibRef

Lee, B.J.[Byung-Jae], Erdenee, E.[Enkhbayar], Jin, S.G.[Song-Guo], Nam, M.Y.[Mi Young], Jung, Y.G.[Young Giu], Rhee, P.K.[Phill Kyu],
Multi-class Multi-object Tracking Using Changing Point Detection,
MOTC16(II: 68-83).
Springer DOI 1611
BibRef

Poiesi, F.[Fabio], Cavallaro, A.[Andrea],
Detection of fast incoming objects with a moving camera,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Yu, F.W.[Feng-Wei], Li, W.[Wenbo], Li, Q.Q.[Quan-Quan], Liu, Y.[Yu], Shi, X.H.[Xiao-Hua], Yan, J.J.[Jun-Jie],
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature,
MOTC16(II: 36-42).
Springer DOI 1611
BibRef

Mehta, S., Prabhakaran, B.,
Region graph based method for multi-object detection and tracking using depth cameras,
WACV16(1-8)
IEEE DOI 1606
Cameras BibRef

Breuers, S., Yang, S., Mathias, M., Leibe, B.,
Exploring bounding box context for multi-object tracker fusion,
WACV16(1-8)
IEEE DOI 1606
Computational modeling BibRef

Zhang, T.H.[Ting-Hao], Chen, H.T.[Hsiao-Tzu], Tang, C.W.[Chih-Wei],
Multi-target Tracking Using Sample-Based Data Association for Mixed Images,
ISVC15(I: 127-137).
Springer DOI 1601
BibRef

Francis, M.[Mathew], Guha, P.[Prithwijit],
Object Tracking with Classification Score Weighted Histogram of Sparse Codes,
PReMI17(162-169).
Springer DOI 1711
BibRef

Garg, S.[Sourav], Hassan, E.[Ehtesham], Kumar, S.[Swagat], Guha, P.[Prithwijit],
A Hierarchical Frame-by-Frame Association Method Based on Graph Matching for Multi-object Tracking,
ISVC15(I: 138-150).
Springer DOI 1601
BibRef

Chen, B.J.[Bor-Jeng], Medioni, G.,
Exploring Local Context for Multi-target Tracking in Wide Area Aerial Surveillance,
WACV17(787-796)
IEEE DOI 1609
BibRef
Earlier:
Motion propagation detection association for multi-target tracking in wide area aerial surveillance,
AVSS15(1-6)
IEEE DOI 1511
BibRef
And:
Persistent 3D stabilization for aerial imagery,
WACV16(1-8)
IEEE DOI 1606
Context, Detectors, Gray-scale, Motion detection, Optimization, Target tracking. Adaptive optics dynamic programming BibRef

Tang, S.[Siyu], Andres, B.[Bjoern], Andriluka, M.[Mykhaylo], Schiele, B.[Bernt],
Subgraph decomposition for multi-target tracking,
CVPR15(5033-5041)
IEEE DOI 1510
BibRef

Chari, V.[Visesh], Lacoste-Julien, S.[Simon], Laptev, I.[Ivan], Sivic, J.[Josef],
On pairwise costs for network flow multi-object tracking,
CVPR15(5537-5545)
IEEE DOI 1510
BibRef

Dehghan, A.[Afshin], Assari, S.M.[Shayan Modiri], Shah, M.[Mubarak],
GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking,
CVPR15(4091-4099)
IEEE DOI 1510
BibRef

Oh, C.M.[Chi-Min], Nazib, A., Xu, H.[Hao], Moon, J.[Joopil], Lee, C.W.[Chil-Woo],
Centralization problem of contacting interaction in multiple object tracking,
FCV15(1-4)
IEEE DOI 1506
object tracking BibRef

Kumar, R.[Ratnesh], Charpiat, G.[Guillaume], Thonnat, M.[Monique],
Multiple Object Tracking by Efficient Graph Partitioning,
ACCV14(IV: 445-460).
Springer DOI 1504
BibRef

Craciun, P.[Paula], Ortner, M.[Mathias], Zerubia, J.B.[Josiane B.],
Joint Detection and Tracking of Moving Objects Using Spatio-temporal Marked Point Processes,
WACV15(177-184)
IEEE DOI 1503
Biological system modeling BibRef

Rice, L.[Lance], Dornhausy, A.[Anna], Shin, M.C.[Min C.],
Efficient Training of Multiple Ant Tracking,
WACV15(117-123)
IEEE DOI 1503
Labeling BibRef

Diot, F.[Fabien], Fromont, E.[Elisa], Jeudy, B.[Baptiste], Marilly, E.[Emmanuel], Martinot, O.[Olivier],
Unsupervised Tracking from Clustered Graph Patterns,
ICPR14(3678-3683)
IEEE DOI 1412
Algorithm design and analysis BibRef

Segal, A.V.[Aleksandr V.], Reid, I.D.[Ian D.],
Latent Data Association: Bayesian Model Selection for Multi-target Tracking,
ICCV13(2904-2911)
IEEE DOI 1403
bayesian inference BibRef

Dicle, C.[Caglayan], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
The Way They Move: Tracking Multiple Targets with Similar Appearance,
ICCV13(2304-2311)
IEEE DOI 1403
Generalized Linear Assignment BibRef

Brau, E.[Ernesto], Guan, J.Y.[Jin-Yan], Simek, K.[Kyle], del Pero, L.[Luca], Dawson, C.R.[Colin Reimer], Barnard, K.[Kobus],
Bayesian 3D Tracking from Monocular Video,
ICCV13(3368-3375)
IEEE DOI 1403
3D scene modeling; Bayesian inference; MCMCDA; multi-object tracking BibRef

Arora, C.[Chetan], Globerson, A.[Amir],
Higher Order Matching for Consistent Multiple Target Tracking,
ICCV13(177-184)
IEEE DOI 1403
BibRef

Yoon, J.H.[Ju Hong], Yoon, K.J.[Kuk-Jin], Kim, D.Y.[Du Yong],
Multi-object tracking using hybrid observation in PHD filter,
ICIP13(3890-3894)
IEEE DOI 1402
PHD filter BibRef

Yuan, S.X.[Shan-Xin], Miao, J.[Jun], Qing, L.Y.[Lai-Yun],
Robust multi-patch tracking,
ICIP13(3108-3112)
IEEE DOI 1402
Bayesian inference; Visual tracking; fast; multi-patch; robust BibRef

Topkaya, I.S.[Ibrahim Saygin], Erdogan, H.[Hakan], Porikli, F.M.[Fatih M.],
Detecting and Tracking Unknown Number of Objects with Dirichlet Process Mixture Models and Markov Random Fields,
ISVC13(II:178-188).
Springer DOI 1311
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Nath, T.[Tanmay], Liu, G.D.[Guang-Da], Weyn, B.[Barbara],
Tracking for Quantifying Social Network of Drosophila Melanogaster,
CAIP13(II:539-545).
Springer DOI 1311
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Butt, A.A.[Asad A.], Collins, R.T.[Robert T.],
Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow,
CVPR13(1846-1853)
IEEE DOI 1309
Lagrangian Relaxation; Multi-target Tracking; Network Flow BibRef

Butt, A.A.[Asad A.], Collins, R.T.[Robert T.],
Multiple Target Tracking Using Frame Triplets,
ACCV12(III:163-176).
Springer DOI 1304
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Fasciano, T., Nguyen, H.[Hoan], Dornhaus, A., Shin, M.C.,
Tracking multiple ants in a colony,
WACV13(534-540).
IEEE DOI 1303
BibRef

Roulston, Y., Peursum, P.[Patrick],
A Bayesian Formulation for Multi-Bernoulli Random Finite Sets in Multi-Target Tracking,
DICTA12(1-8).
IEEE DOI 1303
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Zhang, T.X.[Tian-Xu], Li, H.[Hao], Chen, J.C.[Jian-Chong],
A novel spatial-temporal multi-scale method for detection and analysis of infrared multiple moving objects,
ICPR12(1884-1887).
WWW Link. 1302
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Zhao, Y.[Yipu], Vela, P.A.[Patricio A.],
Good Line Cutting: Towards Accurate Pose Tracking of Line-Assisted VO/VSLAM,
ECCV18(II: 527-543).
Springer DOI 1810
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Xue, K.[Kang], Vela, P.A.[Patricio A.], Liu, Y.[Yue], Wang, Y.T.[Yong-Tian],
A modified KLT multiple objects tracking framework based on global segmentation and adaptive template,
ICPR12(3561-3564).
WWW Link. 1302
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Zulkifley, M.A.[Mohd Asyraf], Moran, B.[Bill], Rawlinson, D.[David],
Robust hierarchical multiple hypothesis tracker for multiple object tracking,
ICIP12(405-408).
IEEE DOI 1302
BibRef

Karthikeyan, S., Delibaltov, D.[Diana], Gaur, U.[Utkarsh], Jiang, M.[Mei], Williams, D.[David], Manjunath, B.S.,
Unified probabilistic framework for simultaneous detection and tracking of multiple objects with application to bio-image sequences,
ICIP12(1349-1352).
IEEE DOI 1302
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Stephan, T.[Thomas], Grinberg, M.[Michael],
Probabilistic Handling of Merged Detections in Multi Target Tracking,
AVSS12(355-361).
IEEE DOI 1211
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Teutsch, M.[Michael], Kruger, W.[Wolfgang],
Detection, Segmentation, and Tracking of Moving Objects in UAV Videos,
AVSS12(313-318).
IEEE DOI 1211
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Bardelli, E.[Eleonora], Colombo, M.[Maria], Mennucci, A.[Andrea], Yezzi, A.J.[Anthony J.],
Multiple Object Tracking via Prediction and Filtering with a Sobolev-Type Metric on Curves,
NORDIA12(I: 143-152).
Springer DOI 1210
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Márquez-Gámez, D.[David], Devy, M.[Michel],
Active Visual-Based Detection and Tracking of Moving Objects from Clustering and Classification Methods,
ACIVS12(361-373).
Springer DOI 1209
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Pollard, T.[Thomas], Antone, M.[Matthew],
Detecting and tracking all moving objects in wide-area aerial video,
CNWASA12(15-22).
IEEE DOI 1207
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Poff, C.[Corey], Nguyen, H.[Hoan], Kang, T.[Timothy], Shin, M.C.[Min C.],
Efficient tracking of ants in long video with GPU and interaction,
WACV12(57-62).
IEEE DOI 1203
BibRef

Shen, C.H.[Chun-Hua], Li, H.D.[Hong-Dong], Brooks, M.J.,
Classification-Based Likelihood Functions for Bayesian Tracking,
AVSBS06(33-33).
IEEE DOI 0611
BibRef

Monti, F.[Francesco], Maludrottu, S.[Stefano], Regazzoni, C.S.[Carlo S.],
Joint multitarget object tracking and interaction analysis by a probabilistic bio-inspired model,
ARTEMIS10(15-20).
DOI Link 1111
BibRef

Hidayatullah, P., Konik, H.,
CAMSHIFT improvement on multi-hue object and multi-object tracking,
EUVIP11(143-148).
IEEE DOI 1110
BibRef

Russell, C.[Chris], Agapito, L.[Lourdes], Setti, F.[Francesco],
Efficient Second Order Multi-Target Tracking with Exclusion Constraints,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Mille, J.[Julien], Rose, J.L.[Jean-Loïc],
Region tracking with narrow perception of background,
ICIP11(493-496).
IEEE DOI 1201
BibRef
And:
Multitarget region tracking based on short-sight modelling of background and color distribution temporal variation,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Pan, G.D.[Guo-Dong], Wong, K.Y.K.[Kwan-Yee Kenneth],
Multi-body Segmentation and Motion Number Estimation via Over-Segmentation Detection,
CVVT10(194-203).
Springer DOI 1109
how many different motions. BibRef

Li, G.X.[Guang-Xia], Zhang, M.M.[Ming-Min], Li, Y.[Yang], Pan, Z.G.[Zhi-Geng], Zhang, W.J.[Wen-Jie],
Multi-target Tracking and Segmentation via Discriminative Appearance Model,
3DIMPVT11(93-100).
IEEE DOI 1109
BibRef

Brau, E.[Ernesto], Dunatunga, D.[Damayanthi], Barnard, K.[Kobus], Tsukamoto, T.[Tatsuya], Palanivelu, R.[Ravi], Lee, P.[Philip],
A generative statistical model for tracking multiple smooth trajectories,
CVPR11(1137-1144).
IEEE DOI 1106
BibRef

Pirsiavash, H.[Hamed], Ramanan, D.[Deva], Fowlkes, C.C.[Charless C.],
Globally-optimal greedy algorithms for tracking a variable number of objects,
CVPR11(1201-1208).
IEEE DOI 1106
BibRef

Shalaby, A.[Ahmed], Ali, A.[Asem], Farag, A.A.[Aly A.],
Simultaneous identification and tracking of moving targets,
OTCBVS11(49-54).
IEEE DOI 1106
BibRef

Nguyen, N.T.[Nhat-Tan], Branzan-Albu, A.[Alexandra], Laurendeau, D.[Denis],
From Optical Flow to Tracking Objects on Movie Videos,
ICIAR11(I: 426-435).
Springer DOI 1106
BibRef

Fletcher, M.[Mary], Dornhaus, A.[Anna], Shin, M.C.[Min C.],
Multiple ant tracking with global foreground maximization and variable target proposal distribution,
WACV11(570-576).
IEEE DOI 1101
Tracking ants. BibRef

Nugraha, I.G.B.B.[I Gusti Bagus Baskara], Weng, S.[Suwen], Morita, H.[Hiroyoshi],
Multiple object tracking on static surveillance video using field-based prediction information in MPEG-2 video,
ICIP10(4625-4628).
IEEE DOI 1009
BibRef

Beleznai, C.[Csaba], Schreiber, D.[David],
Multiple object tracking by hierarchical association of spatio-temporal data,
ICIP10(41-44).
IEEE DOI 1009
BibRef

Jeng, T.Y.[Ting-Yueh], Song, B.[Bi], Staudt, E.[Elliot], Liu, M.[Min], Roy-Chowdhury, A.K.[Amit K.], Sen-Gupta, A.[Ashis],
Multi-target tracking using long-term stochastic associations,
ICIP10(57-60).
IEEE DOI 1009
BibRef

Andriyenko, A.[Anton], Schindler, K.[Konrad],
Globally Optimal Multi-target Tracking on a Hexagonal Lattice,
ECCV10(I: 466-479).
Springer DOI 1009
BibRef

Song, B.[Bi], Jeng, T.Y.[Ting-Yueh], Staudt, E.[Elliot], Roy-Chowdhury, A.K.[Amit K.],
A Stochastic Graph Evolution Framework for Robust Multi-target Tracking,
ECCV10(I: 605-619).
Springer DOI 1009
BibRef

Wang, C.H.[Chao-Hui], de la Gorce, M.[Martin], Paragios, N.[Nikos],
Segmentation, Ordering and Multi-object Tracking Using Graphical Models,
ICCV09(747-754).
IEEE DOI 0909
BibRef

Dixon, M.[Michael], Abrams, A.[Austin], Jacobs, N.[Nathan], Pless, R.[Robert],
On analyzing video with very small motions,
CVPR11(1-8).
IEEE DOI 1106
BibRef

Jacobs, N.[Nathan], Dixon, M.[Michael], Satkin, S.[Scott], Pless, R.[Robert],
Efficient tracking of many objects in structured environments,
VS09(1161-1168).
IEEE DOI 0910
BibRef

Yang, L.[Lei], Lu, W.P.[Wei-Ping], Yang, J.[Jie],
A new tracking method for small infrared targets,
ICIP09(3609-3612).
IEEE DOI 0911
BibRef

Nguyen, H.T.[Hoang Thanh], Bhanu, B.[Bir],
Multi-object tracking in non-stationary video using bacterial foraging swarms,
ICIP09(877-880).
IEEE DOI 0911
BibRef

Kloss, G.K., Shin, H.[Heesang], Reyes, N.H.,
Dynamic colour adaptation for colour object tracking,
IVCNZ09(340-345).
IEEE DOI 0911
BibRef

Chen, R.R.[Rong-Rong],
Birth Density Modeling in the Gaussian Mixture PHD Filter in Multi-Target Tracking Problems,
CISP09(1-5).
IEEE DOI 0910
BibRef

Manfredotti, C.E.[Cristina E.], Messina, E.[Enza],
Relational Dynamic Bayesian Networks to Improve Multi-target Tracking,
ACIVS09(528-539).
Springer DOI 0909
BibRef

Ta, D.N.[Duy-Nguyen], Chen, W.C.[Wei-Chao], Gelfand, N.[Natasha], Pulli, K.[Kari],
SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors,
CVPR09(2937-2944).
IEEE DOI 0906
Match in the 3D pyramid, validate with motion model. BibRef

Das, S.K.[Sitansu Kumar], Saha, S.K.[Sanjoy Kumar], Mukherjee, D.P.[Dipti Prasad],
Multiple objects segmentation with fuzzy rule-base trained topology adaptive active membrane,
ICCVGIP10(64-70).
DOI Link 1111
BibRef
Earlier: A1, A3, Only:
Multiple Objects Tracking via Topology Adaptive Active Membrane,
ICCVGIP08(665-672).
IEEE DOI 0812
BibRef

Huttunen, S.[Sami], Heikkila, J.[Janne],
Multi-object tracking using binary masks,
ICIP08(2640-2643).
IEEE DOI 0810
BibRef

Choe, T.E.[Tae Eun], Ramnath, K.[Krishnan], Lee, M.W.[Mun Wai], Haering, N.C.[Niels C.],
Image transformation for object tracking in high-resolution video,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Shafique, K.[Khurram], Lee, M.W.[Mun Wai], Haering, N.C.[Niels C.],
A rank constrained continuous formulation of multi-frame multi-target tracking problem,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Yu, T.[Ting], Wu, Y.[Ying], Krahnstoever, N.O.[Nils O.], Tu, P.H.[Peter H.],
Distributed data association and filtering for multiple target tracking,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Huang, W.[Wei], Wu, Q.M.J.[Q.M. Jonathan],
Detection and Tracking of Multiple Moving Objects in Real-World Scenarios using Attributed Relational Graph,
CRV08(245-252).
IEEE DOI 0805
BibRef

Kachouie, N.N.[Nezamoddin N.], Fieguth, P.W.[Paul W.],
Toward an Optimal Solution for Multitarget Tracking,
ICIP07(VI: 329-332).
IEEE DOI 0709
BibRef

Tschumperle, D., Bentolila, Y., Martinot, J., Fadili, J.,
Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences,
ICIP07(VI: 317-320).
IEEE DOI 0709
BibRef

Li, Z.[Zheng], Gong, H.F.[Hai-Feng], Zhu, S.C.[Song-Chun], Sang, N.[Nong],
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis,
EMMCVPR07(350-361).
Springer DOI 0708
BibRef

Bose, B.[Biswajit], Wang, X.G.[Xiao-Gang], Grimson, W.E.L.[W. Eric L.],
Multi-class object tracking algorithm that handles fragmentation and grouping,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Detecting and tracking multiple interacting objects without class-specific models,
CSAIL-2006-027, April 2006.
WWW Link. BibRef

Ataer-Cansizoglu, E.[Esra], Betke, M.[Margrit],
An Information Fusion Approach for Multiview Feature Tracking,
ICPR10(1706-1709).
IEEE DOI 1008
BibRef

Takala, V.[Valtteri], Pietikainen, M.[Matti],
Multi-Object Tracking Using Color, Texture and Motion,
VS07(1-7).
IEEE DOI 0706
BibRef

Kang, H.B.[Hang-Bong], Chun, K.[Kihong],
Multiple Object Tracking Via Multi-layer Multi-modal Framework,
SCIA07(789-797).
Springer DOI 0706
BibRef

Zhang, C.[Cha], Rui, Y.[Yong],
Robust Visual Tracking via Pixel Classification and Integration,
ICPR06(III: 37-42).
IEEE DOI 0609
BibRef

Wong, S.F.[Shu-Fai], Wong, K.Y.K.[Kwan-Yee Kenneth], Cipolla, R.[Roberto],
Robust Appearance-based Tracking using a sparse Bayesian classifier,
ICPR06(III: 47-50).
IEEE DOI 0609
BibRef

Chia, A.Y.S.[Alex Yong Sang], Huang, W.M.[Wei-Min],
Multiple Objects Tracking with Multiple Hypotheses Dynamic Updating,
ICIP06(569-572).
IEEE DOI 0610
BibRef

Chia, A.Y.S.[Alex Yong Sang], Huang, W.M.[Wei-Min], Li, L.Y.[Li-Yuan],
Multiple Objects Tracking with Multiple Hypotheses Graph Representation,
ICPR06(I: 638-641).
IEEE DOI 0609
BibRef

Cai, Y.Z.[Yi-Zheng], de Freitas, N.[Nando], Little, J.J.[James J.],
Robust Visual Tracking for Multiple Targets,
ECCV06(IV: 107-118).
Springer DOI 0608
BibRef

Nillius, P.[Peter], Sullivan, J.[Josephine], Carlsson, S.[Stefan],
Multi-Target Tracking: Linking Identities using Bayesian Network Inference,
CVPR06(II: 2187-2194).
IEEE DOI 0606
BibRef

Adam, A.[Amit], Rivlin, E.[Ehud], Shimshoni, I.[Ilan],
Robust Fragments-based Tracking using the Integral Histogram,
CVPR06(I: 798-805).
IEEE DOI 0606
BibRef

Adam, A.[Amit],
Fragments Tracker,
Online2008.
HTML Version. Code, Tracking. BibRef 0800

Chen, C., Tay, C., Laugier, C., Mekhnacha, K.,
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Baig, Q., Perrollaz, M., Nascimento, J.B.D., Laugier, C.,
Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking,
ICARCV12(656-661).
IEEE DOI 1304
BibRef

Yguel, M.[Manuel], Tay, C.[Christopher], Mekhnacha, K.[Kamel], Laugier, C.[Christian],
Velocity Estimation on the Bayesian Occupancy Filter for Multi-Target Tracking,
INRIARR-5836, 2006.
HTML Version. BibRef 0600

Pitie, F., Berrani, S.A., Kokaram, A., Dahyot, R.,
Off-Line Multiple Object Tracking Using Candidate Selection and the Viterbi Algorithm,
ICIP05(III: 109-112).
IEEE DOI 0512
BibRef

Smith, K., Gatica-Perez, D.,
Order Matters: A Distributed Sampling Method for Multi-Object Tracking,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Genovesio, A., Belhassine, Z., Olivo-Marin, J.C.,
Adaptive gating in gaussian bayesian multi-target tracking,
ICIP04(I: 147-150).
IEEE DOI 0505
BibRef

Genovesio, A., Olivo-Marin, J.C.,
Split and merge data association filter for dense multi-target tracking,
ICPR04(IV: 677-680).
IEEE DOI 0409
BibRef

Ivanovic, A., Huang, T.S.,
A probabilistic framework for segmentation and tracking of multiple non rigid objects for video surveillance,
ICIP04(I: 353-356).
IEEE DOI 0505
BibRef

Satake, J., Shakunaga, T.,
Multiple target tracking by appearance-based condensation tracker using structure information,
ICPR04(III: 294-297).
IEEE DOI 0409
BibRef

Pan, Z.L.[Zai-Liang], Ngo, C.W.[Chong-Wah],
Novel seed selection for multiple objects detection and tracking,
ICPR04(II: 744-747).
IEEE DOI 0409
BibRef

Shen, B., Habed, A., Boufama, B.S.,
Motion and trajectory recovery for tracking multiple objects undergoing a planar motion,
CRV04(301-305).
IEEE DOI 0408
BibRef

Mabey, G.W., Gunther, J.,
A robust motion-estimation algorithm for multiple-target tracking at close proximity based on hexagonal partitioning,
AVSBS03(107-112).
IEEE DOI 0310
BibRef

Sechidis, L.[Lazaros], Patias, P.[Petros], Tsioukas, V.[Vassilios],
Low Level Tracking of Multiple Objects,
PCV02(B: 237). 0305
BibRef

Bruno, M.G.S., Moura, J.M.F.,
Bayesian smoothing and filtering for multiframe, multiaspect target detection and tracking,
ICIP02(I: 561-564).
IEEE DOI 0210
BibRef

Bruno, M.G.S.,
Multiframe Bayesian Tracking of Cluttered Targets with Random Motion,
ICIP00(Vol III: 90-93).
IEEE DOI 0008
BibRef

Lefevre, S., Bouton, E., Brouard, T., Vincent, N.,
A new way to use hidden Markov models for object tracking in video sequences,
ICIP03(III: 117-120).
IEEE DOI 0312
BibRef

Borghese, N.A., Rigiroli, P.,
Tracking densely moving markers,
3DPVT02(682-685).
IEEE DOI 0206
BibRef

Wu, Y.[Ying], Zhang, Z.Y.[Zheng-You], Huang, T.S.[Thomas S.], Lin, J.Y.[John Y.],
Multibody Grouping via Orthogonal Subspace Decomposition,
CVPR01(II:252-257).
IEEE DOI 0110
Factorization approach for segmentation fails due to noise. BibRef

Chen, H.T.[Hwann-Tzong], Lin, H.H.[Horng-Horng], Liu, T.L.[Tyng-Luh],
Multi-Object Tracking Using Dynamical Graph Matching,
CVPR01(II:210-217).
IEEE DOI 0110
Address interactions between objects. BibRef

Piater, J.H., Crowley, J.L.,
Multi-Modal Tracking of Interacting Targets using Gaussian Approximations,
PETS01(xx-yy). 0110
BibRef

Chen, Y.Q.[Yun-Qiang], Huang, T.S.,
Hierarchical MRF Model for Model-based Multi-object Tracking,
ICIP01(I: 385-388).
IEEE DOI 0108
BibRef

Kornprobst, P.[Pierre], Medioni, G.[Gerard],
A 2D+t Tensor Voting Based Approach for Tracking,
ICPR00(Vol III: 1092-1095).
IEEE DOI BibRef 0001 USC Computer Vision 0009
BibRef
And:
Tracking Segmented Objects using Tensor Voting,
CVPR00(II: 118-125).
IEEE DOI BibRef USC Computer Vision 0005
BibRef

Cohen, I.[Isaac], Medioni, G.[Gerard],
Detecting and Tracking Moving Objects for Video Surveillance,
CVPR99(II: 319-325).
IEEE DOI BibRef 9900 USC Computer Vision
PDF File. BibRef
And:
Detecting and Tracking Moving Objects in Video from an Airborne Observer,
DARPA98(217-222). Mosaic.
PDF File. BibRef

Ben-Abdelkader, C., Burlina, P., Davis, L.S.,
Single camera multiplexing for multi-target tracking,
CIAP99(1140-1143).
IEEE DOI 9909
BibRef

Liu, M.L.[Man Lee], Wong, K.,
A Novel Algorithm for Recovering the 3D Motions of Multiple Moving Rigid Objects,
ICPR98(Vol I: 655-657).
IEEE DOI 9808
BibRef

Tascini, G.[Guido], Puliti, P.[Paolo], Zingaretti, P.[Primo],
Multi-polygonal object tracking,
CIAP95(465-470).
Springer DOI 9509
BibRef

Watson, G.A., Blair, W.D.,
IMM Algorithms for Tracking Targets that Maneuver Through Coordinated Turns,
SPIE(1698), 1992, pp. 236-247. BibRef 9200
And:
The IMM Algorithms and Aperiodic Data,
SPIE(1697), 1992, pp. 83-91. BibRef
And: BibRef

Mazor, E., Dayan, J.,
Aircraft Group Recognition In Multitarget Tracking Environment,
ICPR94(B:560-562).
IEEE DOI BibRef 9400

Regazzoni, C.S., Tesei, A.,
Density evaluation and tracking of multiple objects from image sequences,
ICIP94(I: 545-549).
IEEE DOI 9411
BibRef

Fukui, K., Nakai, H., Kuno, Y.,
Multiple Object Tracking System with Three Level Continuous Processes,
WACV92(19-27).
IEEE DOI BibRef 9200

Butnicka, J.Z., Monds, F.C.,
Automatic Movement Analysis for Classification of Moving Objects,
ICPR78(750). BibRef 7800

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Real-Time Multi-Object Tracking .