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The goal of multi-object tracking (MOT) is detecting and tracking all the objects in a scene, while keeping a unique identifier for each object.
The hungarian method for the assignment problem
H. W. Kuhn · 1955
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Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
M. A. Fischler and R. C. Bolles · 1981
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Good features to track
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Introduction to random signals and applied kalman filtering: with MATLAB exercises and solutions; 3rd ed
R. G. Brown and P. Y. C. Hwang · 1997
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Pyramidal implementation of the lucas kanade feature tracker
J.-Y. Bouguet · 1999
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The OpenCV Library
G. Bradski · 2000
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Evaluating multiple object tracking performance: the clear mot metrics
K. Bernardin and R. Stiefelhagen · 2008
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Parametric image alignment using enhanced correlation coefficient maximization
G. D. Evangelidis and E. Z. Psarakis · 2008
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Orb: An efficient alternative to sift or surf
E. Rublee, V. Rabaud, K. Konolige, and G. Bradski · 2011
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Simple online and realtime tracking
A. Bewley, Z. Ge, L. Ott, F. Ramos, and B. Upcroft · 2016
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Mot16: A benchmark for multi-object tracking
A. Milan, L. Leal-Taixé, I. Reid, S. Roth, and K. Schindler · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi · 2016
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Poi: Multiple object tracking with high performance detection and appearance feature
F. Yu, W. Li, Q. Li, Y. Liu, X. Shi, and J. Yan · 2016
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High-speed tracking-by-detection without using image information
E. Bochinski, V. Eiselein, and T. Sikora · 2017
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Simple online and realtime tracking with a deep association metric
N. Wojke, A. Bewley, and D. Paulus · 2017
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Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
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Crowdhuman: A benchmark for detecting human in a crowd
S. Shao, Z. Zhao, B. Li, T. Xiao, G. Yu, X. Zhang, and J. Sun · 2018
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Learning discriminative features with multiple granularities for person re-identification
G. Wang, Y. Yuan, X. Chen, J. Li, and X. Zhou · 2018
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Tracking without bells and whistles
P. Bergmann, T. Meinhardt, and L. Leal-Taixe · 2019
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Centernet: Keypoint triplets for object detection
K. Duan, S. Bai, L. Xie, H. Qi, Q. Huang, and Q. Tian · 2019
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Bag of tricks and a strong baseline for deep person re-identification
H. Luo, Y. Gu, X. Liao, S. Lai, and W. Jiang · 2019
Cited alongside, same era.
The homography as a state transformation between frames in visual multi-target tracking
J. H. White and R. W. Beard · 2019
Cited alongside, same era.
Omni-scale feature learning for person re-identification
K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang · 2019
Cited alongside, same era.
Yolov4: Optimal speed and accuracy of object detection
A. Bochkovskiy, C.-Y. Wang, and H.-Y. M. Liao · 2020
Cited alongside, same era.
Mot20: A benchmark for multi object tracking in crowded scenes
P. Dendorfer, H. Rezatofighi, A. Milan, J. Shi, D. Cremers, I. Reid, S. Roth, K. Schindler, and L. Leal-Taixé · 2020
Cited alongside, same era.
Transmot: Spatial-temporal graph transformer for multiple object tracking
P. Chu, J. Wang, Q. You, H. Ling, and Z. Liu · 2021
Later among the works it cites.
Giaotracker: A comprehensive framework for mcmot with global information and optimizing strategies in visdrone 2021
Y. Du, J. Wan, Y. Zhao, B. Zhang, Z. Tong, and J. Dong · 2021
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Yolox: Exceeding yolo series in 2021
Z. Ge, S. Liu, F. Wang, Z. Li, and J. Sun · 2021
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Semi-tcl: Semi-supervised track contrastive representation learning
W. Li, Y. Xiong, S. Yang, M. Xu, Y. Wang, and W. Xia · 2021
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L. He, X. Liao, W. Liu, X. Liu, P. Cheng, and T. Mei · 2020
Cited alongside, same era.
Trackeval
A. H. Jonathon Luiten · 2020
Cited alongside, same era.
T. Khurana, A. Dave, and D. Ramanan · 2020
Cited alongside, same era.
Rethinking the competition between detection and reid in multi-object tracking
C. Liang, Z. Zhang, Y. Lu, X. Zhou, B. Li, X. Ye, and J. Zou · 2020
Cited alongside, same era.
Retinatrack: Online single stage joint detection and tracking
Z. Lu, V. Rathod, R. Votel, and J. Huang · 2020
Cited alongside, same era.
Tubetk: Adopting tubes to track multi-object in a one-step training model
B. Pang, Y. Li, Y. Zhang, M. Li, and C. Lu · 2020
Cited alongside, same era.
Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
J. Peng, C. Wang, F. Wan, Y. Wu, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, and Y. Fu · 2020
Cited alongside, same era.
C. Liang, Z. Zhang, X. Zhou, B. Li, Y. Lu, and W. Hu · 2021
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Hota: A higher order metric for evaluating multi-object tracking
J. Luiten, A. Osep, P. Dendorfer, P. Torr, A. Geiger, L. Leal-Taixé, and B. Leibe · 2021
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Quasi-dense similarity learning for multiple object tracking
J. Pang, L. Qiu, X. Li, H. Chen, Q. Li, T. Darrell, and F. Yu · 2021
Later among the works it cites.
Learning to track with object permanence
P. Tokmakov, J. Li, W. Burgard, and A. Gaidon · 2021
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Multiple object tracking with correlation learning
Q. Wang, Y. Zheng, P. Pan, and Y. Xu · 2021
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Track to detect and segment: An online multi-object tracker
J. Wu, J. Cao, L. Song, Y. Wang, M. Yang, and J. Yuan · 2021
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Transcenter: Transformers with dense queries for multiple-object tracking
Y. Xu, Y. Ban, G. Delorme, C. Gan, D. Rus, and X. Alameda-Pineda · 2021
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Remot: A model-agnostic refinement for multiple object tracking
F. Yang, X. Chang, S. Sakti, Y. Wu, and S. Nakamura · 2021
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Relationtrack: Relation-aware multiple object tracking with decoupled representation
E. Yu, Z. Li, S. Han, and H. Wang · 2021
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Motr: End-to-end multiple-object tracking with transformer
F. Zeng, B. Dong, T. Wang, C. Chen, X. Zhang, and Y. Wei · 2021
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Bytetrack: Multi-object tracking by associating every detection box
Y. Zhang, P. Sun, Y. Jiang, D. Yu, Z. Yuan, P. Luo, W. Liu, and X. Wang · 2021
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Fairmot: On the fairness of detection and re-identification in multiple object tracking
Y. Zhang, C. Wang, X. Wang, W. Zeng, and W. Liu · 2021
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Improving multiple object tracking with single object tracking
L. Zheng, M. Tang, Y. Chen, G. Zhu, J. Wang, and H. Lu · 2021
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Observation-centric sort: Rethinking sort for robust multi-object tracking
J. Cao, X. Weng, R. Khirodkar, J. Pang, and K. Kitani · 2022
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Strongsort: Make deepsort great again
Y. Du, Y. Song, B. Yang, and Y. Zhao · 2022
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Mat: Motion-aware multi-object tracking
S. Han, P. Huang, H. Wang, E. Yu, D. Liu, and X. Pan · 2022
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Modelling ambiguous assignments for multi-person tracking in crowds
D. Stadler and J. Beyerer · 2022
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