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Multiple object tracking in complex scenarios - such as coordinated dance performances, team sports, or dynamic animal groups - presents unique challenges.
A new approach to linear filtering and prediction problems
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Long short-term memory
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Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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Earthflight, 2011
John Downer and David Tennant · 2011
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On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio · 2013
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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
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Sequence to sequence-video to text
Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond Mooney, Trevor Darrell, and Kate Saenko · 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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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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Deep multimodal representation learning from temporal data
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A Bernal, and Jiebo Luo · 2017
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Centernet: Keypoint triplets for object detection
Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, and Qi Tian · 2019
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Root mean square layer normalization
Biao Zhang and Rico Sennrich · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Transtrack: Multiple object tracking with transformer
Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
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Towards real-time multi-object tracking
Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, and Shengjin Wang · 2020
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Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Motchallenge: A benchmark for single-camera multiple target tracking
Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, and Laura Leal-Taixé · 2021
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Transformers in time series: A survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, and Liang Sun · 2022
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Transcenter: Transformers with dense representations for multiple-object tracking
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, and Xavier Alameda-Pineda · 2022
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Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
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Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
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Global tracking transformers
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, and Philipp Krähenbühl · 2022
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Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 2021
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Efficiently modeling long sequences with structured state spaces
Albert Gu, Karan Goel, and Christopher Ré · 2021
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Hota: A higher order metric for evaluating multi-object tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixé, and Bastian Leibe · 2021
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Multiple object tracking: A literature review
Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, and Tae-Kyun Kim · 2021
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Quasi-dense similarity learning for multiple object tracking
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, and Fisher Yu · 2021
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Track to detect and segment: An online multi-object tracker
Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, and Junsong Yuan · 2021
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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
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Observation-centric sort: Rethinking sort for robust multi-object tracking
Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, and Kris Kitani · 2023
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Sportsmot: A large multi-object tracking dataset in multiple sports scenes
Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, and Limin Wang · 2023
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Memotr: Long-term memory-augmented transformer for multi-object tracking
Ruopeng Gao and Limin Wang · 2023
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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Ovtrack: Open-vocabulary multiple object tracking
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, and Fisher Yu · 2023
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Cooler: Class-incremental learning for appearance-based multiple object tracking
Zhizheng Liu, Mattia Segu, and Fisher Yu · 2023
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Motiontrack: Learning robust short-term and long-term motions for multi-object tracking
Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua, and Wei Tang · 2023
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Darth: Holistic test-time adaptation for multiple object tracking
Mattia Segu, Bernt Schiele, and Fisher Yu · 2023
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Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space
Fan Yang, Shigeyuki Odashima, Shoichi Masui, and Shan Jiang · 2023
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Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors
Yuang Zhang, Tiancai Wang, and Xiangyu Zhang · 2023
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Slack: Semantic, location and appearance aware open-vocabulary tracking
Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segu, Martin Danelljan, and Luc Van Gool · 2024
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Walker: Self-supervised multiple object tracking by walking on temporal appearance graphs
Mattia Segu, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, and Bernt Schiele · 2024
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On the feasibility of simple transformer for dynamic graph modeling
Yuxia Wu, Yuan Fang, and Lizi Liao · 2024
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Nettrack: Tracking highly dynamic objects with a net
Guangze Zheng, Shijie Lin, Haobo Zuo, Changhong Fu, and Jia Pan · 2024
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