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Robust multi-object tracking (MOT) is a prerequisite fora safe deployment of self-driving cars.
Algorithms for the assignment and transportation problems
James Munkres · 1957
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An algorithm for tracking multiple targets
Donald Reid · 1979
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Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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An efficient implementation of reid’s multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking
Ingemar J. Cox and Sunita L. Hingorani · 1996
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Global data association for multi-object tracking using network flows
Li Zhang, Yuan Li, and Ramakant Nevatia · 2008
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Coupling detection and data association for multiple object tracking
Zheng Wu, Ashwin Thangali, Stan Sclaroff, and Margrit Betke · 2012
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Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs
Amir Roshan Zamir, Afshin Dehghan, and Mubarak Shah · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Motchallenge 2015: Towards a benchmark for multi-target tracking
Laura Leal-Taixé, Anton Milan, Ian Reid, Stefan Roth, and Konrad Schindler · 2015
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Followme: Efficient online min-cost flow tracking with bounded memory and computation
Philip Lenz, Andreas Geiger, and Raquel Urtasun · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Subgraph decomposition for multi-target tracking
Siyu Tang, Bjoern Andres, Miykhaylo Andriluka, and Bernt Schiele · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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Tracking interacting objects using intertwined flows
Xinchao Wang, Engin Türetken, Francois Fleuret, and Pascal Fua · 2015
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Learning to track: Online multi-object tracking by decision making
Yu Xiang, Alexandre Alahi, and Silvio Savarese · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Simple online and realtime tracking
Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning by tracking: Siamese cnn for robust target association
Laura Leal-Taixé, Cristian Canton-Ferrer, and Konrad Schindler · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
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Multi-person tracking by multicut and deep matching
Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
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Online multi-object tracking using cnn-based single object tracker with spatial-temporal attention mechanism
Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, and Nenghai Yu · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Multi-object tracking with neural gating using bilinear lstm
Chanho Kim, Fuxin Li, and James M Rehg · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Self-attention with relative position representations
Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 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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Tracking without bells and whistles
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Cited alongside, same era.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Online multi-target tracking using recurrent neural networks
Anton Milan, S Hamid Rezatofighi, Anthony Dick, Ian Reid, and Konrad Schindler · 2017
Cited alongside, same era.
Accurate single stage detector using recurrent rolling convolution
Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, and Li Xu · 2017
Cited alongside, same era.
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 Chandraker · 2017
Cited alongside, same era.
Multi-object tracking with quadruplet convolutional neural networks
Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han · 2017
Cited alongside, same era.
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
Peng Chu and Haibin Ling · 2019
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, William W Cohen, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov · 2019
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Universal transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, and Łukasz Kaiser · 2019
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Joint monocular 3d vehicle detection and tracking
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krahenbuhl, Trevor Darrell, and Fisher Yu · 2019
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Set transformer: A framework for attention-based permutation-invariant neural networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
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Eliminating exposure bias and metric mismatch in multiple object tracking
Andrii Maksai and Pascal Fua · 2019
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Stochastic prediction of multi-agent interactions from partial observations
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, and Kevin Murphy · 2019
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Mots: Multi-object tracking and segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019
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A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S Yu · 2019
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Spatial-temporal relation networks for multi-object tracking
Jiarui Xu, Yue Cao, Zheng Zhang, and Han Hu · 2019
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
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