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Data association-based multiple object tracking (MOT) involves multiple separated modules processed or optimized differently, which results in complex method design and requires non-trivial tuning of parameters.
Evaluating multiple object tracking performance: the clear mot metrics
K. Bernardin and R. Stiefelhagen · 2008
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Robust object tracking by hierarchical association of detection responses
C. Huang, B. Wu, and R. Nevatia · 2008
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Global data association for multi-object tracking using network flows
L. Zhang, Y. Li, and R. Nevatia · 2008
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Globally-optimal greedy algorithms for tracking a variable number of objects
H. Pirsiavash, D. Ramanan, and C. C. Fowlkes · 2011
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Multitarget data association with higher-order motion models
R. T. Collins · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs
A. R. Zamir, A. Dehghan, and M. Shah · 2012
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Detection-and trajectory-level exclusion in multiple object tracking
A. Milan, K. Schindler, and S. Roth · 2013
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Regionlets for generic object detection
X. Wang, M. Yang, S. Zhu, and Y. Lin · 2013
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Fast feature pyramids for object detection
P. Dollár, R. Appel, S. Belongie, and P. Perona · 2014
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Continuous energy minimization for multitarget tracking
A. Milan, S. Roth, and K. Schindler · 2014
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Multiple target tracking based on undirected hierarchical relation hypergraph
L. Wen, W. Li, J. Yan, Z. Lei, D. Yi, and S. Z. Li · 2014
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Learning complexity-aware cascades for deep pedestrian detection
Z. Cai, M. Saberian, and N. Vasconcelos · 2015
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Near-online multi-target tracking with aggregated local flow descriptor
W. Choi · 2015
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Target identity-aware network flow for online multiple target tracking
A. Dehghan, Y. Tian, P. H. Torr, and M. Shah · 2015
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Efficient decomposition of image and mesh graphs by lifted multicuts
M. Keuper, E. Levinkov, N. Bonneel, G. Lavoué, T. Brox, and B. Andres · 2015
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Multiple hypothesis tracking revisited
C. Kim, F. Li, A. Ciptadi, and J. M. Rehg · 2015
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MOTChallenge 2015: Towards a benchmark for multi-target tracking
L. Leal-Taixé, A. Milan, I. Reid, S. Roth, and K. Schindler · 2015
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Followme: Efficient online min-cost flow tracking with bounded memory and computation
P. Lenz, A. Geiger, and R. Urtasun · 2015
Cited alongside, same era.
Faster r-cnn: towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Ua-detrac: A new benchmark and protocol for multi-object detection and tracking
L. Wen, D. Du, Z. Cai, Z. Lei, M.-C. Chang, H. Qi, J. Lim, M.-H. Yang, and S. Lyu · 2015
Cited alongside, same era.
Learning to track: Online multi-object tracking by decision making
Y. Xiang, A. Alahi, and S. Savarese · 2015
Cited alongside, same era.
Bayesian multi-object tracking using motion context from multiple objects
J. H. Yoon, M.-H. Yang, J. Lim, and K.-J. Yoon · 2015
Cited alongside, same era.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data
T. Kutschbach, E. Bochinski, V. Eiselein, and T. Sikora · 2017
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Online multi-target tracking using recurrent neural networks
A. Milan, S. H. Rezatofighi, A. R. Dick, I. D. Reid, and K. Schindler · 2017
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Combined image-and world-space tracking in traffic scenes
A. Osep, W. Mehner, M. Mathias, and B. Leibe · 2017
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Tracking the untrackable: Learning to track multiple cues with long-term dependencies
A. Sadeghian, A. Alahi, and S. Savarese · 2017
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A. Bewley, Z. Ge, L. Ott, F. Ramos, and B. Upcroft · 2016
Cited alongside, same era.
Improving multi-frame data association with sparse representations for robust near-online multi-object tracking
L. Fagot-Bouquet, R. Audigier, Y. Dhome, and F. Lerasle · 2016
Cited alongside, same era.
Online multi-person tracking using integral channel features
H. Kieritz, S. Becker, W. Hübner, and M. Arens · 2016
Cited alongside, same era.
Learning by tracking: Siamese cnn for robust target association
L. Leal-Taixé, C. Canton-Ferrer, and K. Schindler · 2016
Cited alongside, same era.
MOT16: A benchmark for multi-object tracking
A. Milan, L. Leal-Taixé, I. Reid, S. Roth, and K. Schindler · 2016
Cited alongside, same era.
Multi-target tracking by discrete-continuous energy minimization
A. Milan, K. Schindler, and S. Roth · 2016
Cited alongside, same era.
Deep tracking: Seeing beyond seeing using recurrent neural networks
P. Ondruska and I. Posner · 2016
Cited alongside, same era.
J. Son, M. Baek, M. Cho, and B. Han · 2017
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Multiple people tracking by lifted multicut and person re-identification
S. Tang, M. Andriluka, B. Andres, and B. Schiele · 2017
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Learning optimal parameters for multi-target tracking with contextual interactions
S. Wang and C. C. Fowlkes · 2017
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Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking
S.-H. Bae and K.-J. Yoon · 2018
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Real-time multiple people tracking with deeply learned candidate selection and person re-identification
L. Chen, H. Ai, Z. Zhuang, and C. Shang · 2018
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Recurrent autoregressive networks for online multi-object tracking
K. Fang, Y. Xiang, X. Li, and S. Savarese · 2018
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Motion segmentation & multiple object tracking by correlation co-clustering
M. Keuper, S. Tang, B. Andres, T. Brox, and B. Schiele · 2018
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Multi-object tracking with neural gating using bilinear lstm
C. Kim, F. Li, and J. M. Rehg · 2018
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Interacting tracklets for multi-object tracking
L. Lan, X. Wang, S. Zhang, D. Tao, W. Gao, and T. S. Huang · 2018
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Iterative multiple hypothesis tracking with tracklet-level association
H. Sheng, J. Chen, Y. Zhang, W. Ke, Z. Xiong, and J. Yu · 2018
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Deep learning of graph matching
A. Zanfir and C. Sminchisescu · 2018
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Online multi-object tracking with dual matching attention networks
J. Zhu, H. Yang, N. Liu, M. Kim, W. Zhang, and M.-H. Yang · 2018
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Rank-1 tensor approximation for high-order association in multi-target tracking
X. Shi, H. Ling, Y. Pang, W. Hu, P. Chu, and J. Xing · 2019
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