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Graphs offer a natural way to formulate Multiple Object Tracking (MOT) within the tracking-by-detection paradigm.
Network flows: Theory, algorithms and applications
R. Ahuja, T. Magnanti, and J. Orlin · 1993
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Network flows: Theory, algorithms and applications
R. Ahuja, T. Magnanti, and J. Orlin · 1993
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Robust people tracking with global trajectory optimization
J. Berclaz, F. Fleuret, and P. Fua · 2006
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A linear programming approach for multiple object tracking
H. Jiang, S. Fels, and J. Little · 2007
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Multiple target tracking using spatio-temporal markov chain monte carlo data association
Q. Yu, G. Medioni, and I. Cohen · 2007
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A mobile vision system for robust multi-person tracking
A. Ess, B. Leibe, K. Schindler, and L. van Gool · 2008
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Multicamera people tracking with a probabilistic occupancy map
F. Fleuret, J. Berclaz, R. Lengagne, and P. Fua · 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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Global data association for multi-object tracking using network flows
L. Zhang, Y. Li, and R. Nevatia · 2008
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Robust tracking-by-detection using a detector confidence particle filter
M. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, and L. van Gool · 2009
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Framework for performance evaluation for face, text and vehicle detection and tracking in video: data, metrics, and protocol
R. Kasturi, D. Goldgof, P. Soundararajan, V. Manohar, J. Garofolo, M. Boonstra, V. Korzhova, and J. Zhang · 2009
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You’ll never walk alone: modeling social behavior for multi-target tracking
S. Pellegrini, A. Ess, K. Schindler, and L. van Gool · 2009
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The graph neural network model
F. Scarselli, M. Gori, A. C. Tsoi, M. Hagenbuchner, and G. Monfardini · 2009
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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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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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Efficient track linking methods for track graphs using network-flow and set-cover techniques
Z. Wu, T. Kunz, and M. Betke · 2011
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A unified framework for multi-target tracking and collective activity recognition
W. Choi and S. Savarese · 2012
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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Branch-and-price global optimization for multi-view multi-target tracking
L. Leal-Taixé, G. Pons-Moll, and B. Rosenhahn · 2012
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Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs
A. Zamir, A. Dehghan, and M. Shah · 2012
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Spectral networks and locally connected networks on graphs
J. Bruna, W. Zaremba, A. Szlam, and Y. LeCun · 2013
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Online multi-target tracking by large margin structured learning
S. Kim, S. Kwak, J. Feyereisl, and B. Han · 2013
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Deepflow: Large displacement optical flow with deep matching
P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid · 2013
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Baseline used in: Learning and image-based motion context for multiple people tracking
L. Leal-Taixé, M. Fenzi, A. Kuznetsova, B. Rosenhahn, and S. Savarese · 2014
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Learning an image-based motion context for multiple people tracking
L. Leal-Taixé, M. Fenzi, A. Kuznetsova, B. Rosenhahn, and S. Savarese · 2014
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Deepreid: Deep filter pairing neural network for person re-identification
W. Li, R. Zhao, T. Xiao, and X. Wang · 2014
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Segmentation of moving objects by long term video analysis
P. Ochs, J. Malik, and T. Brox · 2014
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Near-online multi-target tracking with aggregated local flow descriptor
W. Choi · 2015
Cited alongside, same era.
Near-online multi-target tracking with aggregated local flow descriptor
W. Choi · 2015
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Multiple hypothesis tracking revisited: Blending in modern appearance model
C. Kim, F. Li, A. Ciptadi, and J. Rehg · 2015
Cited alongside, same era.
Motchallenge 2015: Towards a benchmark for multi-target tracking
L. Leal-Taixé, A. Milan, I. Reid, S. Roth, and K. Schindler · 2015
Cited alongside, same era.
Motchallenge 2015: Towards a benchmark for multi-target tracking
L. Leal-Taixé, A. Milan, I. Reid, S. Roth, and K. Schindler · 2015
Cited alongside, same era.
Multi-object tracking with quadruplet convolutional neural networks
J. Son, M. Baek, M. Cho, and B. Han · 2017
Later among the works it cites.
Multiple people tracking by lifted multicut and person re-identification
S. Tang, M. Andriluka, B. Andres, and B. Schiele · 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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Multi people tracking with lifted multicut and person re-identification
S. Tang, M. Andriluka, and B. Schiele · 2017
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Relational inductive biases, deep learning, and graph networks
P. W. Battaglia, J. B. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. F. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner, Ç. Gülçehre, F. Song, A. J. Ballard, J. Gilmer, G. E. Dahl, A. Vaswani, K. Allen, C. Nash, V. Langston, C. Dyer, N. Heess, D. Wierstra, P. Kohli, M. Botvinick, O. Vinyals, Y. Li, and R. Pascanu · 2018
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Joint tracking and segmentation of multiple targets
A. Milan, L. Leal-Taixé, K. Schindler, and I. Reid · 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.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, R. G. K. He, and J. Sun · 2015
Cited alongside, same era.
Subgraph decomposition for multi-target tracking
S. Tang, B. Andres, M. Andriluka, and B. Schiele · 2015
Cited alongside, same era.
Learning optimal parameters for multi-target tracking
S. Wang and C. Fowlkes · 2015
Cited alongside, same era.
Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
Cited alongside, same era.
Interaction networks for learning about objects, relations and physics
P. Battaglia, R. Pascanu, M. Lai, D. Jimenez Rezende, and k. kavukcuoglu · 2016
Cited alongside, same era.
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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End-to-end learning of multi-sensor 3d tracking by detection
D. Frossard and R. Urtasun · 2018
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Neural graph matching networks for fewshot 3d action recognition
M. Guo, E. Chou, D.-A. Huang, S. Song, S. Yeung, and L. Fei-Fei · 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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Neural relational inference for interacting systems
T. Kipf, E. Fetaya, K.-C. Wang, M. Welling, and R. Zemel · 2018
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Combinatorial optimization with graph convolutional networks and guided tree search
Z. Li, Q. Chen, and V. Koltun · 2018
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C. Ma, C. Yang, F. Yang, Y. Zhuang, Z. Zhang, H. Jia, and X. Xie · 2018
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Out of the box: Reasoning with graph convolution nets for factual visual question answering
M. Narasimhan, S. Lazebnik, and A. G. Schwing · 2018
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Features for multi-target multi-camera tracking and re-identification
E. Ristani and C. Tommasi · 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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Heterogeneous association graph fusion for target association in multiple object tracking
H. Sheng, Y. Zhang, J. Chen, Z. Xiong, and J. Zhang · 2018
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Online multi-object tracking with historical appearance matching and scene adaptive detection filtering
Y.-C. Yoon, A. Boragule, K. Yoon, and M. Jeon · 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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Tracking without bells and whistles
P. Bergmann, T. Meinhardt, and L. Leal-Taixé · 2019
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Aggregate tracklet appearance features for multi-object tracking
L. Chen, H. Ai, R. Chen, and Z. Zhuang · 2019
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Online multi-object tracking with instance-aware tracker and dynamic model refreshment
P. Chu, H. Fan, C. C. Tan, and H. Ling · 2019
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Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
P. Chu and H. Ling · 2019
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Graph convolutional tracking
J. Gao, T. Zhang, and C. Xu · 2019
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Multiple people tracking using body and joint detections
R. Henschel, Y. Zou, and B. Rosenhahn · 2019
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Motion segmentation and multiple object tracking by correlation co-clustering
M. Keuper, S. Tang, B. Andres, T. Brox, and B. Schiele · 2019
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Customized multi-person tracker
L. Ma, S. Tang, M. Blakc, and L. van Gool · 2019
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Spatial-temporal relation networks for multi-object tracking
J. Xu, Y. Cao, Z. Zhang, and H. Hu · 2019
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Spatial-temporal relation networks for multi-object tracking
J. Xu, Y. Cao, Z. Zhang, and H. Hu · 2019
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