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In order to track all persons in a scene, the tracking-by-detection paradigm has proven to be a very effective approach.
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A linear programming approach for multiple object tracking
H. Jiang, S. Fels, and J. Little · 2007
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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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Learning to associate: Hybridboosted multi-target tracker for crowded scene
Y. Li, C. Huang, and R. Nevatia · 2009
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Stable multi-target tracking in real-time surveillance video
B. Benfold and I. Reid · 2011
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Multiple object tracking using k-shortest paths optimization
J. Berclaz, F. Fleuret, E. Türetken, and P. Fua · 2011
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Multiobject tracking as maximum weight independent set
W. Brendel, M. Amer, and S. Todorovic · 2011
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Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
K. Fragkiadaki and J. Shi · 2011
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Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker
L. Leal-Taixé, G. Pons-Moll, and B. Rosenhahn · 2011
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Globally-optimal greedy algorithms for tracking a variable number of objects
H. Pirsiavash, D. Ramanan, and C. Fowlkes · 2011
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Extending the qcr method to general mixed-integer programs
A. Billionnet, S. Elloumi, and A. Lambert · 2012
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Non-convex mixed-integer nonlinear programming: A survey
S. Burer and A. N. Letchford · 2012
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Two-granularity tracking: mediating trajectory and detections graphs for tracking under occlusions
K. Fragkiadaki, W. Zhang, G. Zhang, and J. Shi · 2012
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Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, R. G. K. He, and J. Sun · 2015
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Learning to divide and conquer for online multi-target tracking
F. Solera, S. Calderara, and R. Cucchiara · 2015
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Subgraph decomposition for multi-target tracking
S. Tang, B. Andres, M. Andriluka, and B. Schiele · 2015
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Re-identification of humans in crowds using personal, social and environmental constraints
S. M. Assari, H. Idrees, and M. Shah · 2016
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Tracking with multi-level features
R. Henschel, L. Leal-Taixé, B. Rosenhahn, and K. Schindler · 2016
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A. Zamir, A. Dehghan, and M. Shah · 2012
Cited alongside, same era.
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
S. Lacoste-Julien, M. Jaggi, M. Schmidt, and P. Pletscher · 2013
Cited alongside, same era.
DeepFlow: Large displacement optical flow with deep matching
P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid · 2013
Cited alongside, same era.
Socially-aware large-scale crowd forecasting
A. Alahi, V. Ramanathan, and L. Fei-Fei · 2014
Cited alongside, same era.
Multi-object tracking via constrained sequential labeling
S. Chen, A. Fern, and S. Todorovic · 2014
Cited alongside, same era.
Fast feature pyramids for object detection
P. Dolĺar, R. Appel, S. Belongie, and P. Perona · 2014
Cited alongside, same era.
Efficient multiple people tracking using minimum cost arborescences
R. Henschel, L. Laura Leal-Taixé, and B. Rosenhahn · 2014
Cited alongside, same era.
M. Keuper, S. Tang, Y. Zhongjie, B. Andres, T. Brox, and B. Schiele · 2016
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Convergence rate of frank-wolfe for non-convex objectives
S. Lacoste-Julien · 2016
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MOT16: A benchmark for multi-object tracking
A. Milan, L. Leal-Taixé, I. Reid, S. Roth, and K. Schindler · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi · 2016
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Instance-level video segmentation from object tracks
G. Seguin, P. Bojanowski, R. Lajugie, and I. Laptev · 2016
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End-to-end people detection in crowded scenes
R. Stewart, M. Andriluka, and A. Y. Ng · 2016
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Multi-person tracking by multicuts and deep matching
S. Tang, B. Andres, M. Andriluka, and B. Schiele · 2016
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Multi-object tracking using dominant sets
Y. T. Tesfaye, E. Zemene, M. Pelillo, and A. Prati · 2016
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Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers
F. Yang, W. Choi, and Y. Lin · 2016
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Enhancing detection model for multiple hypothesis tracking
J. Chen, H. Sheng, Y. Zhang, and Z. Xiong · 2017
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Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes
A. Dehghan and M. Shah · 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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Tracking the trackers: an analysis of the state of the art in multiple object tracking
L. Leal-Taixé, A. Milan, K. Schindler, D. Cremers, I. Reid, and S. Roth · 2017
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Joint graph decomposition & node labeling: Problem, algorithms, applications
E. Levinkov, J. Uhrig, S. Tang, M. Omran, E. Insafutdinov, A. Kirillov, C. Rother, T. Brox, B. Schiele, and B. Andres · 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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Multiple people tracking by lifted multicut and person reidentification
S. Tang, M. Andriluka, B. Andres, and B. Schiele · 2017
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