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Tracking; Clustering; Likelihood function; Motion characterization;
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0610
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OTCBVS06(142).
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0609
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Multi-dimensional visual tracking; Course of dimensionality; Dynamic
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Wood, T.M.,
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Change perception; Distinguishability; Motion likelihood field;
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1309
BibRef
Earlier:
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1208
Performance evaluation;multiple targets;tracking
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Object tracking
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Educational institutions
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1502
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1208
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Linear programming
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Object tracking
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3D tracking
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Sparsity-driven detection
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Computational modeling
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1609
Multiple objects tracking
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Lin, L.,
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Cheng, H.,
Zuo, W.,
Detection-Free Multiobject Tracking by Reconfigurable Inference With
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belief networks
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Huang, R.[Rui],
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1609
Detectors
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Xiang, J.[Jun],
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Data Association Based Multi-target Tracking Using a Joint Formulation,
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1704
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Huang, S.C.[Shu-Cheng],
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Elsevier DOI
1612
Multi-object traking
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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.
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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
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,
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
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
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.H.[Cheng-Hu],
Zhao, Y.B.[Yong-Bo],
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
Jin, H.Y.[Hao-Yuan],
Nie, X.S.[Xue-Song],
Yan, Y.F.[Yun-Feng],
Chen, X.[Xi],
Zhu, Z.H.[Zhi-Hang],
Qi, D.L.[Dong-Lian],
AHOR: Online Multi-Object Tracking With Authenticity Hierarchizing
and Occlusion Recovery,
CirSysVideo(34), No. 9, September 2024, pp. 8253-8265.
IEEE DOI
2410
Feature extraction, Tracking, Task analysis, Detectors,
Electrical engineering, Kalman filters,
occlusion
BibRef
Li, Y.S.[Yuan-Sheng],
Wei, P.[Ping],
You, M.Y.[Ming-Yi],
Wei, Y.F.[Yi-Fan],
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.X.[Xian-Xun],
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.C.[Ze-Chao],
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
Xie, F.[Fei],
Yang, W.K.[Wan-Kou],
Wang, C.Y.[Chun-Yu],
Chu, L.[Lei],
Cao, Y.[Yue],
Ma, C.[Chao],
Zeng, W.J.[Wen-Jun],
Correlation-Embedded Transformer Tracking: A Single-Branch Framework,
PAMI(46), No. 12, December 2024, pp. 10681-10696.
IEEE DOI
2411
Transformers, Target tracking, Feature extraction, Correlation,
Visualization, Pipelines, Object tracking, vision transformer,
feature fusion
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
Bilgi, H.Ç.[H. Çagri],
Alatan, A.A.[A. Aydin],
Bi-Directional Tracklet Embedding for Multi-Object Tracking,
ICIP24(4035-4041)
IEEE DOI
2411
Deep learning, Visualization, Target tracking, Merging,
Bidirectional control, Transformers, Feature extraction,
hierarchical tracking
BibRef
Mayer, C.[Christoph],
Danelljan, M.[Martin],
Yang, M.H.[Ming-Hsuan],
Ferrari, V.[Vittorio],
Van Gool, L.J.[Luc J.],
Kuznetsova, A.[Alina],
Beyond SOT: Tracking Multiple Generic Objects at Once,
WACV24(6812-6822)
IEEE DOI Code:
WWW Link.
2404
Target tracking, Codes, Benchmark testing, Transformers, Robustness,
Encoding, Algorithms, Video recognition and understanding,
Datasets and evaluations
BibRef
Limanta, F.[Felix],
Uto, K.[Kuniaki],
Shinoda, K.[Koichi],
CAMOT: Camera Angle-aware Multi-Object Tracking,
WACV24(6465-6474)
IEEE DOI
2404
Geometry, Tracking, Estimation, Object detection, Performance gain,
Cameras, Algorithms, Video recognition and understanding
BibRef
You, S.[Sisi],
Yao, H.T.[Han-Tao],
Bao, B.K.[Bing-Kun],
Xu, C.S.[Chang-Sheng],
UTM: A Unified Multiple Object Tracking Model with Identity-Aware
Feature Enhancement,
CVPR23(21876-21886)
IEEE DOI
2309
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.W.[Zi-Wen],
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
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],
Sun, P.[Peize],
Jiang, Y.[Yi],
Yu, D.D.[Dong-Dong],
Weng, F.C.[Fu-Cheng],
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,
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
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,
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, Silicon,
Target tracking, GMMCP, MBIP, MOT, real-node, item
BibRef
Pu, S.[Shi],
Zhang, H.G.[Hong-Gang],
Zhao, K.L.[Kai-Li],
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
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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
BibRef
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
BibRef
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
BibRef
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
BibRef
Zhang, T.X.[Tian-Xu],
Li, H.[Hao],
Chen, J.C.[Jian-Chong],
A novel spatial-temporal multi-scale method for detection and analysis
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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
BibRef
Xue, K.[Kang],
Vela, P.A.[Patricio A.],
Liu, Y.[Yue],
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A modified KLT multiple objects tracking framework based on global
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ICPR12(3561-3564).
WWW Link.
1302
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Zulkifley, M.A.[Mohd Asyraf],
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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
BibRef
Stephan, T.[Thomas],
Grinberg, M.[Michael],
Probabilistic Handling of Merged Detections in Multi Target Tracking,
AVSS12(355-361).
IEEE DOI
1211
BibRef
Teutsch, M.[Michael],
Kruger, W.[Wolfgang],
Detection, Segmentation, and Tracking of Moving Objects in UAV Videos,
AVSS12(313-318).
IEEE DOI
1211
BibRef
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
BibRef
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
BibRef
Pollard, T.[Thomas],
Antone, M.[Matthew],
Detecting and tracking all moving objects in wide-area aerial video,
CNWASA12(15-22).
IEEE DOI
1207
BibRef
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
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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
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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
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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],
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A generative statistical model for tracking multiple smooth
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CVPR11(1137-1144).
IEEE DOI
1106
BibRef
Pirsiavash, H.[Hamed],
Ramanan, D.[Deva],
Fowlkes, C.C.[Charless C.],
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CVPR11(1201-1208).
IEEE DOI
1106
BibRef
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Simultaneous identification and tracking of moving targets,
OTCBVS11(49-54).
IEEE DOI
1106
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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
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.
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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
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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
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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
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
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
Tracking Formations, Groups, Multi-Object Tracking .