16.6.2.7.4 Online Tracking, Real Time Tracking Multiple Objects

Chapter Contents (Back)
Target Tracking. Multi-Object Tracking. Multi-Target Tracking.

Pernkopf, F.[Franz],
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation,
SMC-B(38), No. 6, December 2008, pp. 1465-1475.
IEEE DOI 0812
BibRef
Earlier:
Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation,
ICIAR07(602-614).
Springer DOI 0708
BibRef

Xu, Y.K.[Ying-Kun], Qin, L.[Lei], Li, G.R.[Guo-Rong], Huang, Q.M.[Qing-Ming],
Online Discriminative Structured Output SVM Learning for Multi-Target Tracking,
SPLetters(21), No. 2, February 2014, pp. 190-194.
IEEE DOI 1402
learning (artificial intelligence) BibRef

Xu, Y.K.[Ying-Kun], Qin, L.[Lei], Huang, Q.M.[Qing-Ming],
Coupling Reranking and Structured Output SVM Co-Train for Multitarget Tracking,
CirSysVideo(26), No. 6, June 2016, pp. 1084-1098.
IEEE DOI 1606
BibRef
Earlier:
Coupling Multiple Alignments and Re-ranking for Low-Latency Online Multi-target Tracking,
ACCV14(V: 534-549).
Springer DOI 1504
Algorithm design and analysis BibRef

Yang, B.[Bo], Nevatia, R.[Ramakant],
Multi-Target Tracking by Online Learning a CRF Model of Appearance and Motion Patterns,
IJCV(107), No. 2, April 2014, pp. 203-217.
Springer DOI 1404
BibRef
Earlier:
Multi-target tracking by online learning of non-linear motion patterns and robust appearance models,
CVPR12(1918-1925).
IEEE DOI 1208
BibRef

Chau, D.P.[Duc Phu], Thonnat, M.[Monique], Brémond, F.[François], Corvée, E.[Etienne],
Online parameter tuning for object tracking algorithms,
IVC(32), No. 4, 2014, pp. 287-302.
Elsevier DOI 1404
Object tracking BibRef

Badie, J.[Julien], Bremond, F.[Francois],
Global tracker: An online evaluation framework to improve tracking quality,
AVSS14(25-30)
IEEE DOI 1411
Cameras BibRef

Chau, D.P.[Duc Phu], Badie, J.[Julien], Bremond, F.[Francois],
Online tracking parameter adaptation based on evaluation,
AVSS13(189-194)
IEEE DOI 1311
Context BibRef

Bak, S.[Slawomir], Chau, D.P.[Duc-Phu], Badie, J.[Julien], Corvee, E.[Etienne], Bremond, F.[Francois], Thonnat, M.[Monique],
Multi-target tracking by discriminative analysis on Riemannian manifold,
ICIP12(1605-1608).
IEEE DOI 1302
BibRef

Jiang, H.Z.[Huai-Zu], Wang, J.J.[Jin-Jun], Gong, Y.H.[Yi-Hong], Rong, N.[Na], Chai, Z.H.[Zhen-Hua], Zheng, N.N.[Nan-Ning],
Online Multi-Target Tracking With Unified Handling of Complex Scenarios,
IP(24), No. 11, November 2015, pp. 3464-3477.
IEEE DOI 1509
cameras BibRef

Riahi, D.[Dorra], Bilodeau, G.A.[Guillaume-Alexandre],
Online multi-object tracking by detection based on generative appearance models,
CVIU(152), No. 1, 2016, pp. 88-102.
Elsevier DOI 1609
BibRef
Earlier:
Multiple object tracking based on sparse generative appearance modeling,
ICIP15(4017-4021)
IEEE DOI 1512
BibRef
Earlier:
Multiple Feature Fusion in the Dempster-Shafer Framework for Multi-Object Tracking,
CRV14(313-320)
IEEE DOI 1406
Multiple object tracking. Data association. Detectors BibRef

Wong, S.C., Stamatescu, V., Gatt, A., Kearney, D., Lee, I., McDonnell, M.D.,
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition,
IP(26), No. 10, October 2017, pp. 4669-4683.
IEEE DOI 1708
image sequences, neural nets, object detection, object recognition, object tracking, Neovision2 Tower benchmark data set, online multi object recognition, video object recognition systems, Feature extraction, Image recognition, Shape, Training, BibRef

Gan, W.H.[Wei-Hao], Wang, S.[Shuo], Lei, X.J.[Xue-Jing], Lee, M.S.[Ming-Sui], Kuo, C.C.J.[C.C. Jay],
Online CNN-based multiple object tracking with enhanced model updates and identity association,
SP:IC(66), 2018, pp. 95-102.
Elsevier DOI 1806
Online multiple object tracking, Convolutional neural network tracker, Model update, Identity association BibRef

Baisa, N.L.[Nathanael L.],
Robust online multi-target visual tracking using a HISP filter with discriminative deep appearance learning,
JVCIR(77), 2021, pp. 102952.
Elsevier DOI 2106
Multiple target filtering, HISP filter, Online tracking, Appearance learning, CNN, MOT challenge BibRef

Baisa, N.L.[Nathanael L.],
Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification,
JVCIR(80), 2021, pp. 103279.
Elsevier DOI 2110
Online visual tracking, GM-PHD filter, Prediction, CNN features, Augmented likelihood, Re-identification BibRef

Chai, J.J.[Jia-Jun], Chen, W.Z.[Wen-Zhang], Zhu, Y.[Yuanheng], Yao, Z.X.[Zong-Xin], Zhao, D.B.[Dong-Bin],
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat,
SMCS(53), No. 9, September 2023, pp. 5417-5429.
IEEE DOI 2309
BibRef


Chu, P., Ling, H.,
FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking,
ICCV19(6171-6180)
IEEE DOI 2004
feature extraction, image motion analysis, learning (artificial intelligence), object detection, Training BibRef

Zhou, Z., Xing, J., Zhang, M., Hu, W.,
Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching,
ICPR18(1809-1814)
IEEE DOI 1812
Trajectory, Tensile stress, Target tracking, Feature extraction, Task analysis BibRef

Chen, L., Ai, H., Shang, C., Zhuang, Z., Bai, B.,
Online multi-object tracking with convolutional neural networks,
ICIP17(645-649)
IEEE DOI 1803
Computational modeling, Convolutional neural networks, Detectors, Feature extraction, Target tracking, Training, Appearance Model, Multi-object Tracking BibRef

Lin, Z., Zheng, H., Ke, B., Chen, L.,
Online multi-object tracking based on hierarchical association and sparse representation,
ICIP17(655-659)
IEEE DOI 1803
Benchmark testing, Cameras, Dictionaries, Feature extraction, Reliability, Tracking, Videos, Multi-object tracking, sparse representation BibRef

Bullinger, S., Bodensteiner, C., Arens, M.,
3D Object Trajectory Reconstruction using Stereo Matching and Instance Flow based Multiple Object Tracking,
MVA19(1-6)
DOI Link 1806
BibRef
Earlier:
Instance flow based online multiple object tracking,
ICIP17(785-789)
IEEE DOI 1803
cameras, image matching, image motion analysis, image reconstruction, image segmentation, image sequences, Meters. Image segmentation, Indexes, Motion segmentation, Optical filters, Optical imaging, Tracking, Optical Flow BibRef

Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., Yu, N.,
Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism,
ICCV17(4846-4855)
IEEE DOI 1802
cellular neural nets, image motion analysis, image sequences, learning (artificial intelligence), object detection, Trajectory BibRef

Xu, L., Li, W., Wu, H., Li, Q.,
Online multi-object tracking based on global and local features,
VCIP16(1-4)
IEEE DOI 1701
Colored noise BibRef

Ju, J., Kim, D., Ku, B., Ko, H., Han, D.K.,
Online Multi-object Tracking Based on Hierarchical Association Framework,
PETS16(1273-1281)
IEEE DOI 1612
BibRef

Sanchez-Matilla, R.[Ricardo], Poiesi, F.[Fabio], Cavallaro, A.[Andrea],
Online Multi-target Tracking with Strong and Weak Detections,
MOTC16(II: 84-99).
Springer DOI 1611
BibRef

Choi, W.,
Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor,
ICCV15(3029-3037)
IEEE DOI 1602
Algorithm design and analysis BibRef

Gaidon, A.[Adrien], Vig, E.[Eleonora],
Online Domain Adaptation for Multi-Object Tracking,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Dehghan, A.[Afshin], Tian, Y.C.[Yi-Cong], Torr, P.H.S.[Philip H.S.], Shah, M.[Mubarak],
Target Identity-aware Network Flow for online multiple target tracking,
CVPR15(1146-1154)
IEEE DOI 1510
BibRef

Kim, T.H.[Tae-Ho], Lee, C.[Changhoon], Yoo, C.D.[Chang D.],
Greedy algorithm for real-time multi-object tracking,
ICIP14(398-402)
IEEE DOI 1502
Computer vision BibRef

Kim, S.[Suna], Kwak, S.[Suha], Feyereisl, J.[Jan], Han, B.H.[Bo-Hyung],
Online Multi-target Tracking by Large Margin Structured Learning,
ACCV12(III:98-111).
Springer DOI 1304
BibRef

Zhang, S.[Shu], Das, A.[Abir], Ding, C.[Chong], Roy-Chowdhury, A.K.[Amit K.],
Online Social Behavior Modeling for Multi-target Tracking,
SISM13(751-758)
IEEE DOI 1309
multi-target tracking; social behavior model BibRef

Pathan, S.S.[Saira Saleem], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd],
Integrating statistical and cognitive model for multi-object tracking in realistic scenarios,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef
Earlier:
OIF: An Online Inferential Framework for Multi-object Tracking with Kalman Filter,
CAIP09(1087-1095).
Springer DOI 0909
BibRef

Mauthner, T.[Thomas], Donoser, M.[Michael], Bischof, H.[Horst],
Robust tracking of spatial related components,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Donoser, M.[Michael], Kluckner, S.[Stefan], Bischof, H.[Horst],
Object Tracking by Structure Tensor Analysis,
ICPR10(2600-2603).
IEEE DOI 1008
BibRef

Riemenschneider, H.[Hayko], Donoser, M.[Michael], Bischof, H.[Horst],
Bag of Optical Flow Volumes for Image Sequence Recognition,
BMVC09(xx-yy).
PDF File. 0909
BibRef
Earlier:
Online object recognition by MSER trajectories,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Beleznai, C.[Csaba], Fruhstuck, B.[Bernhard], Bischof, H.[Horst],
Multiple Object Tracking Using Local PCA,
ICPR06(III: 79-82).
IEEE DOI 0609
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking, Multi-Point Tracking, Corners, Features .


Last update:Oct 22, 2023 at 16:34:17