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3D multi-object tracking (MOT) has witnessed numerous novel benchmarks and approaches in recent years, especially those under the "tracking-by-detection" paradigm.
An algorithm for tracking multiple targets
Donald Reid · 1979
Earlier work this paper cites.
Tracking and data association, 1990
Yaakov Bar-Shalom, Thomas E Fortmann, and Peter G Cable · 1990
Earlier work this paper cites.
Multicamera people tracking with a probabilistic occupancy map
Francois Fleuret, Jerome Berclaz, Richard Lengagne, and Pascal Fua · 2007
Earlier work this paper cites.
Global data association for multi-object tracking using network flows
Li Zhang, Yuan Li, and Ramakant Nevatia · 2008
Earlier work this paper cites.
Multiple object tracking using k-shortest paths optimization
Jerome Berclaz, Francois Fleuret, Engin Turetken, and Pascal Fua · 2011
Earlier work this paper cites.
Globally-optimal greedy algorithms for tracking a variable number of objects
Hamed Pirsiavash, Deva Ramanan, and Charless C Fowlkes · 2011
Earlier work this paper cites.
Learning affinities and dependencies for multi-target tracking using a CRF model
Bo Yang, Chang Huang, and Ram Nevatia · 2011
Earlier work this paper cites.
GMCP-Tracker: Global multi-object tracking using generalized minimum clique graphs
Amir Roshan Zamir, Afshin Dehghan, and Mubarak Shah · 2012
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Multiple hypothesis tracking revisited
Chanho Kim, Fuxin Li, Arridhana Ciptadi, and James M Rehg · 2015
Earlier work this paper cites.
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.
Subgraph decomposition for multi-target tracking
Siyu Tang, Bjoern Andres, Miykhaylo Andriluka, and Bernt Schiele · 2015
Earlier work this paper cites.
Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
Earlier work this paper cites.
Online multi-object tracking by quadratic pseudo-boolean optimization
Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, and Zhigang Luo · 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.
Multi-person tracking by multicut and deep matching
Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
Earlier work this paper cites.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2017
Earlier work this paper cites.
Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
Cited alongside, same era.
FANTrack: 3D multi-object tracking with feature association network
Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, and Krzysztof Czarnecki · 2019
Cited alongside, same era.
Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
Cited alongside, same era.
Graph neural ased end-to-end data association framework for online multiple-object tracking
Xiaolong Jiang, Peizhao Li, Yanjing Li, and Xiantong Zhen · 2019
Cited alongside, same era.
Generalized intersection over union
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo Open Dataset
3D multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
Later among the works it cites.
GNN3DMOT: Graph neural network for 3D multi-object tracking with 2D-3D multi-feature learning
Xinshuo Weng, Yongxin Wang, Yunze Man, and Kris Kitani · 2020
Later among the works it cites.
How to train your deep multi-object tracker
Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, and Xavier Alameda-Pineda · 2020
Later among the works it cites.
Score refinement for confidence-based 3D multi-object tracking
Nuri Benbarka, Jona Schröder, and Andreas Zell · 2021
Closest in time.
Probabilistic 3D multi-modal, multi-object tracking for autonomous driving
Hsu-kuang Chiu, Jie Li, Rares Ambrus, and Jeannette Bohg · 2021
Closest in time.
Learnable graph matching: Incorporating graph partitioning with deep feature learning for multiple object tracking
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Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2019
Cited alongside, same era.
Learning a neural solver for multiple object tracking
Guillem Braso and Laura Leal-Taixe · 2020
Cited alongside, same era.
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Cited alongside, same era.
Probabilistic 3D multi-object tracking for autonomous driving
Hsu-kuang Chiu, Antonio Prioletti, Jie Li, and Jeannette Bohg · 2020
Cited alongside, same era.
Lifted disjoint paths with application in multiple object tracking
Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn, and Paul Swoboda · 2020
Cited alongside, same era.
Graph networks for multiple object tracking
Jiahe Li, Xu Gao, and Tingting Jiang · 2020
Cited alongside, same era.
Enhancing the association in multi-object tracking via neighbor graph
Tianyi Liang, Long Lan, and Zhigang Luo · 2020
Cited alongside, same era.
Jiawei He, Zehao Huang, Naiyan Wang, and Zhaoxiang Zhang · 2021
Closest in time.
EagerMOT: 3D multi-object tracking via sensor fusion
Aleksandr Kim, Aljosa Osep, and Laura Leal-Taixé · 2021
Closest in time.
Quasi-dense similarity learning for multiple object tracking
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, and Fisher Yu · 2021
Closest in time.
Model-free vehicle tracking and state estimation in point cloud sequences
Ziqi Pang, Zhichao Li, and Naiyan Wang · 2021
Closest in time.
Offboard 3D object detection from point cloud sequences
Charles R Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, and Dragomir Anguelov · 2021
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Auto4D: Learning to label 4D objects from sequential point clouds
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, and Raquel Urtasun · 2021
Closest in time.
Center-based 3D object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
Closest in time.
Learnable online graph representations for 3D multi-object tracking
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, and Luc Van Gool · 2021
Closest in time.
ByteTrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2021
Closest in time.
FairMOT: On the fairness of detection and re-identification in multiple object tracking
Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, and Wenyu Liu · 2021
Closest in time.