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Multiple object tracking (MOT) depends heavily on selection of true positive detected bounding boxes.
On the generalized distance in statistics
Prasanta Chandra Mahalanobis · 1936
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The hungarian method for the assignment problem
H. W. Kuhn · 1955
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A new approach to linear filtering and prediction problems
R. E. Kalman · 1960
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Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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Parametric image alignment using enhanced correlation coefficient maximization
Georgios D. Evangelidis and Emmanouil Z. Psarakis · 2008
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Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, and Konrad Schindler · 2016
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Simple online and realtime tracking
Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Tozeto Ramos, and Ben Upcroft · 2016
Earlier work this paper cites.
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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Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
Earlier work this paper cites.
A multi modal people tracker for real time human robot interaction
Tim Wengefeld, Steffen Müller, Benjamin Lewandowski, and Horst-Michael Gross · 2019
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Fastreid: A pytorch toolbox for general instance re-identification
Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, and Tao Mei · 2020
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Trackeval
Arne Hoffhues Jonathon Luiten · 2020
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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 · 2020
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A tracking-by-detection based 3d multiple object tracking for autonomous driving
Yingbo Wang, Zhongli Wang, Yuxiang Huang, Xin Cui, and Chaochao Zheng · 2021
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Real time object detection and trackingsystem for video surveillance system
Sudan Jha, Changho Seo, Eunmok Yang, and Gyanendra Prasad Joshi · 2021
Earlier work this paper cites.
Motchallenge: A benchmark for single-camera multiple target tracking
Patrick Dendorfer, Aljos̆a Os̆ep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, and Laura Leal-Taixé · 2021
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Yolox: Exceeding yolo series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 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
Earlier work this paper cites.
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
Earlier work this paper cites.
Bot-sort: Robust associations multi-pedestrian tracking
Nir Aharon, Roy Orfaig, and Ben-Zion Bobrovsky · 2022
Cited alongside, same era.
Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space
F. Yang, Shigeyuki Odashima, Shoichi Masui, and Shan Jiang · 2022
Cited alongside, same era.
Simpletrack: Rethinking and improving the jde approach for multi-object tracking
Jiaxin Li, Yan Ding, and Hua-Liang Wei · 2022
Cited alongside, same era.
Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
Cited alongside, same era.
Quo vadis: Is trajectory forecasting the key towards long-term multi-object tracking?
Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, and Laura Leal-Taixé · 2022
Cited alongside, same era.
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.
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.
A detailed study of the association task in tracking-by-detection-based multi-person tracking
Daniel Stadler · 2023
Later among the works it cites.
Past information aggregation for multi-person tracking
Daniel Stadler and Jürgen Beyerer · 2023
Later among the works it cites.
Unifying short and long-term tracking with graph hierarchies
Orcun Cetintas, Guillem Brasó, and Laura Leal-Taixé · 2023
Later among the works it cites.
Research on multi-object tracking algorithm for thyroid nodules based on bytetrack
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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
Cited alongside, same era.
Animaltrack: A benchmark for multi-animal tracking in the wild
Libo Zhang, Junyuan Gao, Zhen Xiao, and Heng Fan · 2023
Cited alongside, same era.
Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification
Gerard Maggiolino, Adnan Ahmad, Jinkun Cao, and Kris Kitani · 2023
Cited alongside, same era.
Strongsort: Make deepsort great again
Yunhao Du, Zhicheng Zhao, Yang Song, Yanyun Zhao, Fei Su, Tao Gong, and Hongying Meng · 2023
Cited alongside, same era.
An improved association pipeline for multi-person tracking
Daniel Stadler and Jürgen Beyerer · 2023
Cited alongside, same era.
Towards frame rate agnostic multi-object tracking
Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, and Wanli Ouyang · 2023
Cited alongside, same era.
Localization-guided track: A deep association multi-object tracking framework based on localization confidence of detections
Ting Meng, Chunyun Fu, Mingguang Huang, Xiyang Wang, Jiawei He, Tao Huang, and Wankai Shi · 2023
Cited alongside, same era.
Xingxing Li, Panpan Yin, Yanqing Qu, and Chao Duan · 2024
Closest in time.
Boosttrack: boosting the similarity measure and detection confidence for improved multiple object tracking
Vukasin D. Stanojevic and Branimir T. Todorovic · 2024
Closest in time.
Rlm-tracking: online multi-pedestrian tracking supported by relative location mapping
Kai Ren, Chuanping Hu, and Hao Xi · 2024
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A lightweight scheme of deep appearance extraction for robust online multi-object tracking
Yi Li, Youyu Liu, Chuanen Zhou, Dezhang Xu, and Wanbao Tao · 2024
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Smiletrack: Similarity learning for occlusion-aware multiple object tracking
Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, and Xin Li · 2024
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Camtrack: a combined appearance-motion method for multiple-object tracking
Duy Cuong Bui, Ngan Linh Nguyen, Anh Hiep Hoang, and Myungsik Yoo · 2024
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Motion estimation and multi-stage association for tracking-by-detection
Ye Li, Lei Wu, Yiping Chen, Xinzhong Wang, G. Yin, and Zhiguo Wang · 2024
Closest in time.
Local many-to-many matching via roi feature decomposition for multi-object tracking
Jinlong Yang, Yandeng Ban, and Jianjun Liu · 2024
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Hybrid-sort: Weak cues matter for online multi-object tracking
Mingzhan Yang, Guangxin Han, Bin Yan, Wenhua Zhang, Jinqing Qi, Huchuan Lu, and Dong Wang · 2024
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Sfsort: Scene features-based simple online real-time tracker
M Mehrdad Morsali, Z Sharifi, F Fallah, S Hashembeiki, Hoda Mohammadzade, and S Bagheri Shouraki · 2024
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Conftrack: Kalman filter-based multi-person tracking by utilizing confidence score of detection box
Hyeonchul Jung, Seokjun Kang, Takgen Kim, and HyeongKi Kim · 2024
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Bpmtrack: Multi-object tracking with detection box application pattern mining
Yan Gao, Haojun Xu, Jie Li, and Xinbo Gao · 2024
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Base: Probably a better approach to visual multi-object tracking
Martin Larsen., Sigmund Rolfsjord., Daniel Gusland., Jörgen Ahlberg., and Kim Mathiassen · 2024
Closest in time.
Multi-scene generalized trajectory global graph solver with composite nodes for multiple object tracking
Yan Gao, Haojun Xu, Jie Li, Nannan Wang, and Xinbo Gao · 2024
Closest in time.