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Traditionally multi-object tracking and object detection are performed using separate systems with most prior works focusing exclusively on one of these aspects over the other.
Algorithms for the assignment and transportation problems
James Munkres · 1957
Earlier work this paper cites.
An algorithm for tracking multiple targets
Donald Reid · 1979
Earlier work this paper cites.
Sonar tracking of multiple targets using joint probabilistic data association
Thomas Fortmann, Yaakov Bar-Shalom, and Molly Scheffe · 1983
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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
Earlier work this paper cites.
Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm
Jean-Yves Bouguet et al · 2001
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Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
Earlier work this paper cites.
Autonomous driving in urban environments: Boss and the urban challenge
Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher Baker, Robert Bittner, MN Clark, John Dolan, Dave Duggins, Tugrul Galatali, Chris Geyer, et al · 2008
Earlier work this paper cites.
Large scale online learning of image similarity through ranking
Gal Chechik, Varun Sharma, Uri Shalit, and Samy Bengio · 2010
Earlier work this paper cites.
Stable multi-target tracking in real-time surveillance video
Ben Benfold and Ian Reid · 2011
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Near-online multi-target tracking with aggregated local flow descriptor
Wongun Choi · 2015
Earlier work this paper cites.
The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Ali Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
Earlier work this paper cites.
Fast r-cnn
Ross Girshick · 2015
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Finding action tubes
Georgia Gkioxari and Jitendra Malik · 2015
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Joint probabilistic data association revisited
Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony Dick, and Ian Reid · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Earlier work this paper cites.
Learning to track: Online multi-object tracking by decision making
Yu Xiang, Alexandre Alahi, and Silvio Savarese · 2015
Earlier work this paper cites.
R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Earlier work this paper cites.
Seq-nms for video object detection
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, and Thomas S Huang · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Learning by tracking: Siamese cnn for robust target association
Laura Leal-Taixé, Cristian Canton-Ferrer, and Konrad Schindler · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Cited alongside, same era.
Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
Cited alongside, same era.
Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Multi-person tracking by multicut and deep matching
Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
Cited alongside, same era.
Detect-and-track: Efficient pose estimation in videos
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, and Du Tran · 2018
Later among the works it cites.
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Tom Duerig, et al · 2018
Later among the works it cites.
Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Mobile video object detection with temporally-aware feature maps
Mason Liu and Menglong Zhu · 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
Later among the works it cites.
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Cited alongside, same era.
Detect to track and track to detect
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
In defense of the triplet loss for person re-identification
Alexander Hermans, Lucas Beyer, and Bastian Leibe · 2017
Cited alongside, same era.
Tube convolutional neural network (t-cnn) for action detection in videos
Rui Hou, Chen Chen, and Mubarak Shah · 2017
Cited alongside, same era.
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, et al · 2017
Cited alongside, same era.
Object detection in videos with tubelet proposal networks
Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, and Xiaogang Wang · 2017
Cited alongside, same era.
Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, and Kevin Murphy · 2018
Later among the works it cites.
Generating multi-agent trajectories using programmatic weak supervision
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, and Patrick Lucey · 2018
Later among the works it cites.
Towards high performance video object detection
Xizhou Zhu, Jifeng Dai, Lu Yuan, and Yichen Wei · 2018
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Waymo open dataset: An autonomous driving dataset, 2019
2019
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Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2019
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Object guided external memory network for video object detection
Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan · 2019
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Scale mlperf-0.6 models on google tpu-v3 pods
Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, et al · 2019
Later among the works it cites.
Cornernet-lite: Efficient keypoint based object detection
Hei Law, Yun Teng, Olga Russakovsky, and Jia Deng · 2019
Later among the works it cites.
Leveraging long-range temporal relationships between proposals for video object detection
Mykhailo Shvets, Wei Liu, and Alexander C Berg · 2019
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Yichuan Charlie Tang and Ruslan Salakhutdinov · 2019
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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Towards real-time multi-object tracking
Zhongdao Wang, Liang Zheng, Yixuan Liu, and Shengjin Wang · 2019
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Long-term feature banks for detailed video understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krahenbuhl, and Ross Girshick · 2019
Later among the works it cites.
Sequence level semantics aggregation for video object detection
Haiping Wu, Yuntao Chen, Naiyan Wang, and Zhaoxiang Zhang · 2019
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Diverse generation for multi-agent sports games
Raymond A Yeh, Alexander G Schwing, Jonathan Huang, and Kevin Murphy · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Later among the works it cites.