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Multi-Object Tracking (MOT) has been a long-standing challenge in video understanding.
An introduction to the kalman filter
Greg Welch, Gary Bishop, et al · 1995
Earlier work this paper cites.
Evaluating multiple object tracking performance: The CLEAR MOT metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
Earlier work this paper cites.
A unified framework for multi-target tracking and collective activity recognition
Wongun Choi and Silvio Savarese · 2012
Earlier work this paper cites.
Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
Earlier work this paper cites.
Motchallenge 2015: Towards a benchmark for multi-target tracking
Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, and Konrad Schindler · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Earlier work this paper cites.
Simple online and realtime tracking
Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Tozeto Ramos, and Ben Upcroft · 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.
MOT16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, and Konrad Schindler · 2016
Earlier work this paper cites.
Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, and Carlo Tomasi · 2016
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
Earlier work this paper cites.
Real-time multiple people tracking with deeply learned candidate selection and person re-identification
Long Chen, Haizhou Ai, Zijie Zhuang, and Chong Shang · 2018
Earlier work this paper cites.
Crowdhuman: A benchmark for detecting human in a crowd
Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun · 2018
Earlier work this paper cites.
Multi-target tracking using cnn-based features: CNNMTT
Nima Mahmoudi, Seyed Mohammad Ahadi, and Mohammad Rahmati · 2019
Earlier work this paper cites.
Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, and Silvio Savarese · 2019
Earlier work this paper cites.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Earlier work this paper cites.
MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, and Laura Leal-Taixé · 2020
Earlier work this paper cites.
Rethinking the competition between detection and reid in multi-object tracking
Chao Liang, Zhipeng Zhang, Yi Lu, Xue Zhou, Bing Li, Xiyong Ye, and Jianxiao Zou · 2020
Earlier work this paper cites.
Transtrack: Multiple-object tracking with transformer
Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
Earlier work this paper cites.
Towards real-time multi-object tracking
Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, and Shengjin Wang · 2020
Earlier work this paper cites.
BDD100K: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
Earlier work this paper cites.
Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
Cited alongside, same era.
Motsynth: How can synthetic data help pedestrian detection and tracking?
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, and Rita Cucchiara · 2021
Cited alongside, same era.
YOLOX: exceeding YOLO series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 2021
Cited alongside, same era.
HOTA: A higher order metric for evaluating multi-object tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, and Bastian Leibe · 2021
Cited alongside, same era.
Quasi-dense similarity learning for multiple object tracking
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, and Fisher Yu · 2021
Cited alongside, same era.
MeMOTR: Long-term memory-augmented transformer for multi-object tracking
Ruopeng Gao and Limin Wang · 2023
Later among the works it cites.
Sparsetrack: Multi-object tracking by performing scene decomposition based on pseudo-depth
Zelin Liu, Xinggang Wang, Cheng Wang, Wenyu Liu, and Xiang Bai · 2023
Later among the works it cites.
Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification
Gerard Maggiolino, Adnan Ahmad, Jinkun Cao, and Kris Kitani · 2023
Later among the works it cites.
Trackflow: Multi-object tracking with normalizing flows
Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, and Rita Cucchiara · 2023
Later among the works it cites.
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
Later among the works it cites.
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
Track to detect and segment: An online multi-object tracker
Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, and Junsong Yuan · 2021
Cited alongside, same era.
Transcenter: Transformers with dense queries for multiple-object tracking
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, and Xavier Alameda-Pineda · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Deformable DETR: deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2021
Cited alongside, same era.
Bot-sort: Robust associations multi-pedestrian tracking
Nir Aharon, Roy Orfaig, and Ben-Zion Bobrovsky · 2022
Cited alongside, same era.
Memot: Multi-object tracking with memory
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto · 2022
Cited alongside, same era.
Simple cues lead to a strong multi-object tracker
Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, and Laura Leal-Taixé · 2023
Later among the works it cites.
Bridging the gap between end-to-end and non-end-to-end multi-object tracking, 2023
Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, and Lin Ma · 2023
Later among the works it cites.
UTM: A unified multiple object tracking model with identity-aware feature enhancement
Sisi You, Hantao Yao, Bing-Kun Bao, and Changsheng Xu · 2023
Later among the works it cites.
Motrv3: Release-fetch supervision for end-to-end multi-object tracking
En Yu, Tiancai Wang, Zhuoling Li, Yuang Zhang, Xiangyu Zhang, and Wenbing Tao · 2023
Later among the works it cites.
Divotrack: A novel dataset and baseline method for cross-view multi-object tracking in diverse open scenes
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, and Gaoang Wang · 2024
Closest in time.
Matching anything by segmenting anything
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, and Fisher Yu · 2024
Closest in time.
Diffusiontrack: Diffusion model for multi-object tracking
Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, and Min Yang · 2024
Closest in time.
Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction
Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, and Dan Zeng · 2024
Closest in time.
Contrastive learning for multi-object tracking with transformers
Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, and Luc Van Gool · 2024
Closest in time.
Agrisort: A simple online real-time tracking-by-detection framework for robotics in precision agriculture
Leonardo Saraceni, Ionut Marian Motoi, Daniele Nardi, and Thomas A. Ciarfuglia · 2024
Closest in time.
Teamtrack: A dataset for multi-sport multi-object tracking in full-pitch videos
Atom Scott, Ikuma Uchida, Ning Ding, Rikuhei Umemoto, Rory P. Bunker, Ren Kobayashi, Takeshi Koyama, Masaki Onishi, Yoshinari Kameda, and Keisuke Fujii · 2024
Closest in time.
Samba: Synchronized set-of-sequences modeling for multiple object tracking
Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, and Luc Van Gool · 2024
Closest in time.
Sportshhi: A dataset for human-human interaction detection in sports videos
Tao Wu, Runyu He, Gangshan Wu, and Limin Wang · 2024
Closest in time.
Mambatrack: A simple baseline for multiple object tracking with state space model
Changcheng Xiao, Qiong Cao, Zhigang Luo, and Long Lan · 2024
Closest in time.
Detrs beat yolos on real-time object detection
Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, and Jie Chen · 2024
Closest in time.
Nettrack: Tracking highly dynamic objects with a net
Guangze Zheng, Shijie Lin, Haobo Zuo, Changhong Fu, and Jia Pan · 2024
Closest in time.
History-aware transformation of reid features for multiple object tracking
Ruopeng Gao, Yuyao Wang, Chunxu Liu, and Limin Wang · 2025
Closest in time.