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Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos.
The hungarian method for the assignment problem
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Evaluating multiple object tracking performance: the clear mot metrics
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A mobile vision system for robust multi-person tracking
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A discriminatively trained, multiscale, deformable part model
P. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
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Pedestrian detection: A benchmark
P. Dollár, C. Wojek, B. Schiele, and P. Perona · 2009
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Multiple object tracking using k-shortest paths optimization
J. Berclaz, F. Fleuret, E. Turetken, and P. Fua · 2011
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The way they move: Tracking multiple targets with similar appearance
C. Dicle, O. I. Camps, and M. Sznaier · 2013
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Continuous energy minimization for multitarget tracking
A. Milan, S. Roth, and K. Schindler · 2013
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Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning
S.-H. Bae and K.-J. Yoon · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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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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Learning to track: Online multi-object tracking by decision making
Y. Xiang, A. Alahi, and S. Savarese · 2015
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Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. Torr · 2016
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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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Online multi-target tracking with strong and weak detections
R. Sanchez-Matilla, F. Poiesi, and A. Cavallaro · 2016
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Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers
F. Yang, W. Choi, and Y. Lin · 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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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
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P. Micikevicius, S. Narang, J. Alben, G. Diamos, E. Elsen, D. Garcia, B. Ginsburg, M. Houston, O. Kuchaiev, G. Venkatesh, et al · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 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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Joint detection and identification feature learning for person search
T. Xiao, S. Li, B. Wang, L. Lin, and X. Wang · 2017
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mixup: Beyond empirical risk minimization
H. Zhang, M. Cisse, Y. N. Dauphin, and D. Lopez-Paz · 2017
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Citypersons: A diverse dataset for pedestrian detection
S. Zhang, R. Benenson, and B. Schiele · 2017
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Person re-identification in the wild
L. Zheng, H. Zhang, S. Sun, M. Chandraker, Y. Yang, and Q. Tian · 2017
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Cascade r-cnn: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
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Real-time multiple people tracking with deeply learned candidate selection and person re-identification
L. Chen, H. Ai, Z. Zhuang, and C. Shang · 2018
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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
Cited alongside, same era.
Integrated object detection and tracking with tracklet-conditioned detection
Z. Zhang, D. Cheng, X. Zhu, S. Lin, and J. Dai · 2018
Cited alongside, same era.
Online multi-object tracking with dual matching attention networks
J. Zhu, H. Yang, N. Liu, M. Kim, W. Zhang, and M.-H. Yang · 2018
Cited alongside, same era.
Tracking without bells and whistles
P. Bergmann, T. Meinhardt, and L. Leal-Taixe · 2019
Cited alongside, same era.
Bdd100k: A diverse driving dataset for heterogeneous multitask learning
F. Yu, H. Chen, X. Wang, W. Xian, Y. Chen, F. Liu, V. Madhavan, and T. Darrell · 2020
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Multiplex labeling graph for near-online tracking in crowded scenes
Y. Zhang, H. Sheng, Y. Wu, S. Wang, W. Ke, and Z. Xiong · 2020
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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 · 2020
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Tracking objects as points
X. Zhou, V. Koltun, and P. Krähenbühl · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
X. Zhu, W. Su, L. Lu, B. Li, X. Wang, and J. Dai · 2020
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Online multi-object tracking with instance-aware tracker and dynamic model refreshment
P. Chu, H. Fan, C. C. Tan, and H. Ling · 2019
Cited alongside, same era.
Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
P. Chu and H. Ling · 2019
Cited alongside, same era.
Detect or track: Towards cost-effective video object detection/tracking
H. Luo, W. Xie, X. Wang, and W. Zeng · 2019
Cited alongside, same era.
Deep affinity network for multiple object tracking
S. Sun, N. Akhtar, H. Song, A. S. Mian, and M. Shah · 2019
Cited alongside, same era.
Object detection in videos by high quality object linking
P. Tang, C. Wang, X. Wang, W. Liu, W. Zeng, and J. Wang · 2019
Cited alongside, same era.
Spatial-temporal relation networks for multi-object tracking
J. Xu, Y. Cao, Z. Zhang, and H. Hu · 2019
Cited alongside, same era.
X. Zhou, D. Wang, and P. Krähenbühl · 2019
Cited alongside, same era.
P. Chu, J. Wang, Q. You, H. Ling, and Z. Liu · 2021
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Learning a proposal classifier for multiple object tracking
P. Dai, R. Weng, W. Choi, C. Zhang, Z. He, and W. Ding · 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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One more check: Making” fake background” be tracked again
C. Liang, Z. Zhang, X. Zhou, B. Li, Y. Lu, and W. Hu · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo · 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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Trackformer: Multi-object tracking with transformers
T. Meinhardt, A. Kirillov, L. Leal-Taixe, and C. Feichtenhofer · 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
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Probabilistic tracklet scoring and inpainting for multiple object tracking
F. Saleh, S. Aliakbarian, H. Rezatofighi, M. Salzmann, and S. Gould · 2021
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Siammot: Siamese multi-object tracking
B. Shuai, A. Berneshawi, X. Li, D. Modolo, and J. Tighe · 2021
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Improving multiple pedestrian tracking by track management and occlusion handling
D. Stadler and J. Beyerer · 2021
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What makes for end-to-end object detection?
P. Sun, Y. Jiang, E. Xie, W. Shao, Z. Yuan, C. Wang, and P. Luo · 2021
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Sparse r-cnn: End-to-end object detection with learnable proposals
P. Sun, R. Zhang, Y. Jiang, T. Kong, C. Xu, W. Zhan, M. Tomizuka, L. Li, Z. Yuan, C. Wang, et al · 2021
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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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Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
W. Wang, E. Xie, X. Li, D.-P. Fan, K. Song, D. Liang, T. Lu, P. Luo, and L. Shao · 2021
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Do different tracking tasks require different appearance models?
Z. Wang, H. Zhao, Y.-L. Li, S. Wang, P. H. Torr, and L. Bertinetto · 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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Voxeltrack: Multi-person 3d human pose estimation and tracking in the wild
Y. Zhang, C. Wang, X. Wang, W. Liu, and W. Zeng · 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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