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The recent trend in vision-based multi-object tracking (MOT) is heading towards leveraging the representational power of deep learning to jointly learn to detect and track objects.
The hungarian method for the assignment problem
Harold William Kuhn and Bryn Yaw · 1955
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An algorithm for tracking multiple targets
Donald B. Reid · 1979
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Max-margin markov networks
Ben Taskar, Carlos Guestrin, and Daphne Koller · 2003
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Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
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Evaluating multiple object tracking performance: The clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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A discriminatively trained, multiscale, deformable part model
Pedro Felzenszwalb, David McAllester, and Deva Ramanan · 2008
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Coupled object detection and tracking from static cameras and moving vehicles
Bastian Leibe, Konrad Schindler, Nico Cornelis, and Luc Van Gool · 2008
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Global data association for multi-object tracking using network flows
Li Zhang, Li Yuan, and Ramakant Nevatia · 2008
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Markov chain monte carlo data association for multi-target tracking
Songhwai Oh, Stuart Russell, and Shankar Sastry · 2009
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Multi object tracking as maximum weight independent set
William Brendel, Mohamed R. Amer, and Sinisa Todorovic · 2011
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Globally-optimal greedy algorithms for tracking a variable number of objects
Hamed Pirsiavash, Deva Ramanan, and Charles C.Fowlkes · 2011
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
Tijmen Tieleman and Geoffrey Hinton · 2012
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Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures
James Bergstra, Daniel Yamins, and David D. Cox · 2013
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Multi-target tracking by lagrangian relaxation to min-cost network flow
Asad A. Butt and Robert T. Collins · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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A multi-sensor fusion system for moving object detection and tracking in urban driving environments
Hyunggi Cho, Young-Woo Seo, BVK Vijaya Kumar, and Ragunathan Raj Rajkumar · 2014
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Fast feature pyramids for object detection
Piotr Dollár, Ron Appel, Serge Belongie, and Pietro Perona · 2014
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Continuous energy minimization for multitarget tracking
Anton Milan, Stefan Roth, and Konrad Schindler · 2014
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Near-online multi-target tracking with aggregated local flow descriptor
Wongun Choi · 2015
Cited alongside, same era.
Multiple hypothesis tracking revisited
Chanho Kim, Fuxin Li, Arridhana Ciptadi, and James M. Rehg · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Lei Ba · 2015
Cited alongside, same era.
MOTChallenge 2015: Towards a benchmark for multi-target tracking
Laura Leal-Taixé, Anton Milan, Ian Reid, Stefan Roth, and Konrad Schindler · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Combined image- and world-space tracking in traffic scenes
Aljoša Ošep, Wolfgang Mehner, Markus Mathias, and Bastian Leibe · 2017
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Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2017
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Deep network flow for multi-object tracking
Samuel Schulter, Paul Vernaza, Wongun Choi, and Manmohan Krishna Chandraker · 2017
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Multi-object tracking with quadruplet convolutional neural networks
Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han · 2017
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Multiple people tracking by lifted multicut and person re-identification
Siyu Tang, Mykhaylo Andriluka, Bjoern Andres, and Bernt Schiele · 2017
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Recurrent autoregressive networks for online multi-object tracking
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Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cited alongside, same era.
Data-driven 3d voxel patterns for object category recognition
Yu Xiang, Wongun Choi, Yuanqing Lin, and Silvio Savarese · 2015
Cited alongside, same era.
An on-line variational bayesian model for multi-person tracking from cluttered scenes
Sileye Ba, Xavier Alameda-Pineda, Alessio Xompero, and Radu Horaud · 2016
Cited alongside, same era.
Tracking multiple persons based on a variational bayesian model
Yutong Ban, Sileye Ba, Xavier Alameda-Pineda, and Radu Horaud · 2016
Cited alongside, same era.
Learning to track at 100 fps with deep regression networks
David Held, Sebastian Thrun, and Silvio Savarese · 2016
Cited alongside, same era.
Learning by tracking: Siamese cnn for robust target association
Laura Leal-Taixé, Cristian Canton-Ferrer, and Konrad Schindler · 2016
Cited alongside, same era.
Kuan Fang, Yu Xiang, Xiaocheng Li, and Silvio Savarese · 2018
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Motion segmentation & multiple object tracking by correlation co-clustering
Margret Keuper, Siyu Tang, Bjorn Andres, Thomas Brox, and Bernt Schiele · 2018
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Multi-object tracking with neural gating using bilinear lstm
Chanho Kim, Fuxin Li, and James M. Rehg · 2018
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High performance visual tracking with siamese region proposal network
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu · 2018
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Real-time multiple people tracking with deeply learned candidate selection and person re-identification
Chen Long, Ai Haizhou, Zhuang Zijie, and Shang Chong · 2018
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Trajectory factory: Tracklet cleaving and re-connection by deep siamese bi-gru for multiple object tracking
Cong Ma, Changshui Yang, Fan Yang, Yueqing Zhuang, Ziwei Zhang, Huizhu Jia, and Xiaodong Xie · 2018
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Customized multi-person tracker
Liqian Ma, Siyu Tang, Michael J. Black, and Luc Van Gool · 2018
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Heterogeneous association graph fusion for target association in multiple object tracking
Hao Sheng, Yang Zhang, Jiahui Chen, Zhang Xiong, and Jun Zhang · 2018
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Online multi-object tracking with dual matching attention networks
Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, and Ming-Hsuan Yang · 2018
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Variational bayesian inference for audio-visual tracking of multiple speakers
Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, and Radu Horaud · 2019
Closest in time.
Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixé · 2019
Closest in time.
Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
Peng Chu and Haibin Ling · 2019
Closest in time.
Self-supervised moving vehicle tracking with stereo sound
Chuang Gan, Hang Zhao, Peihao Chen, David Cox, and Antonio Torralba · 2019
Closest in time.
MOTS: Multi-object tracking and segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, B.B.G Sekar, Andreas Geiger, and Bastian Leibe · 2019
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