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The one-shot multi-object tracking, which integrates object detection and ID embedding extraction into a unified network, has achieved groundbreaking results in recent years.
Towards real-time multi-object tracking
Wang, Z.; Zheng, L.; Liu, Y.; and Wang, S. 2019 · 1909
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Mean square error of prediction as a criterion for selecting variables
Allen, D. M. 1971 · 1971
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Mot20: A benchmark for multi object tracking in crowded scenes
Dendorfer, P.; Rezatofighi, H.; Milan, A.; Shi, J.; Cremers, D.; Reid, I.; Roth, S.; Schindler, K.; and Leal-Taixé, L. 2020 · 2003
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FairMOT: On the fairness of detection and re-identification in multiple object tracking
Zhang, Y.; Wang, C.; Wang, X.; Zeng, W.; and Liu, W. 2020a · 2004
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Evaluating multiple object tracking performance: the clear mot metrics
Bernardin, K.; and Stiefelhagen, R. 2008 · 2008
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A mobile vision system for robust multi-person tracking
Ess, A.; Leibe, B.; Schindler, K.; and Van Gool, L. 2008 · 2008
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Pedestrian detection: A benchmark
Dollár, P.; Wojek, C.; Schiele, B.; and Perona, P. 2009 · 2009
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Rethinking the competition between detection and ReID in Multi-Object Tracking
Liang, C.; Zhang, Z.; Lu, Y.; Zhou, X.; Li, B.; Ye, X.; and Zou, J. 2020 · 2010
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Target identity-aware network flow for online multiple target tracking
Dehghan, A.; Tian, Y.; Torr, P. H.; and Shah, M. 2015 · 2015
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Motchallenge 2015: Towards a benchmark for multi-target tracking
Leal-Taixé, L.; Milan, A.; Reid, I.; Roth, S.; and Schindler, K. 2015 · 2015
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Fully-convolutional siamese networks for object tracking
Bertinetto, L.; Valmadre, J.; Henriques, J. F.; Vedaldi, A.; and Torr, P. H. 2016 · 2016
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Simple online and realtime tracking
Bewley, A.; Ge, Z.; Ott, L.; Ramos, F.; and Upcroft, B. 2016 · 2016
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MOT16: A benchmark for multi-object tracking
Milan, A.; Leal-Taixé, L.; Reid, I.; Roth, S.; and Schindler, K. 2016 · 2016
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Faster R-CNN: towards real-time object detection with region proposal networks
Ren, S.; He, K.; Girshick, R.; and Sun, J. 2016 · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ristani, E.; Solera, F.; Zou, R.; Cucchiara, R.; and Tomasi, C. 2016 · 2016
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Poi: Multiple object tracking with high performance detection and appearance feature
Yu, F.; Li, W.; Li, Q.; Liu, Y.; Shi, X.; and Yan, J. 2016 · 2016
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Online multi-object tracking with dual matching attention networks
Zhu, J.; Yang, H.; Liu, N.; Kim, M.; Zhang, W.; and Yang, M.-H. 2018 · 2016
Cited alongside, same era.
Online multi-object tracking using CNN-based single object tracker with spatial-temporal attention mechanism
Chu, Q.; Ouyang, W.; Li, H.; Wang, X.; Liu, B.; and Yu, N. 2017 · 2017
Cited alongside, same era.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Sadeghian, A.; Alahi, A.; and Savarese, S. 2017 · 2017
Cited alongside, same era.
Multiple people tracking by lifted multicut and person re-identification
Tang, S.; Andriluka, M.; Andres, B.; and Schiele, B. 2017 · 2017
Cited alongside, same era.
Simple online and realtime tracking with a deep association metric
Wojke, N.; Bewley, A.; and Paulus, D. 2017 · 2017
Cited alongside, same era.
Joint detection and identification feature learning for person search
Online multi-target tracking with tensor-based high-order graph matching
Zhou, Z.; Xing, J.; Zhang, M.; and Hu, W. 2018 · 2018
Later among the works it cites.
Tracking without bells and whistles
Bergmann, P.; Meinhardt, T.; and Leal-Taixe, L. 2019 · 2019
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Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
Chu, P.; and Ling, H. 2019 · 2019
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Spatial-temporal relation networks for multi-object tracking
Xu, J.; Cao, Y.; Zhang, Z.; and Hu, H. 2019 · 2019
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Deeper and wider siamese networks for real-time visual tracking
Zhang, Z.; and Peng, H. 2019 · 2019
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Dasot: A unified framework integrating data association and single object tracking for online multi-object tracking
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Xiao, T.; Li, S.; Wang, B.; Lin, L.; and Wang, X. 2017 · 2017
Cited alongside, same era.
Citypersons: A diverse dataset for pedestrian detection
Zhang, S.; Benenson, R.; and Schiele, B. 2017 · 2017
Cited alongside, same era.
Person re-identification in the wild
Zheng, L.; Zhang, H.; Sun, S.; Chandraker, M.; Yang, Y.; and Tian, Q. 2017 · 2017
Cited alongside, same era.
Real-time multiple people tracking with deeply learned candidate selection and person re-identification
Chen, L.; Ai, H.; Zhuang, Z.; and Shang, C. 2018 · 2018
Cited alongside, same era.
Recurrent autoregressive networks for online multi-object tracking
Fang, K.; Xiang, Y.; Li, X.; and Savarese, S. 2018 · 2018
Cited alongside, same era.
Motion segmentation & multiple object tracking by correlation co-clustering
Keuper, M.; Tang, S.; Andres, B.; Brox, T.; and Schiele, B. 2018 · 2018
Cited alongside, same era.
Cornernet: Detecting objects as paired keypoints
Law, H.; and Deng, J. 2018 · 2018
Cited alongside, same era.
Chu, Q.; Ouyang, W.; Liu, B.; Zhu, F.; and Yu, N. 2020 · 2020
Later among the works it cites.
Lifted disjoint paths with application in multiple object tracking
Hornakova, A.; Henschel, R.; Rosenhahn, B.; and Swoboda, P. 2020 · 2020
Later among the works it cites.
Multiple object tracking: A literature review
Luo, W.; Xing, J.; Milan, A.; Zhang, X.; Liu, W.; and Kim, T.-K. 2020 · 2020
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TubeTK: Adopting tubes to track multi-object in a one-step training model
Pang, B.; Li, Y.; Zhang, Y.; Li, M.; and Lu, C. 2020 · 2020
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Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
Peng, J.; Wang, C.; Wan, F.; Wu, Y.; Wang, Y.; Tai, Y.; Wang, C.; Li, J.; Huang, F.; and Fu, Y. 2020 · 2020
Later among the works it cites.
A unified object motion and affinity model for online multi-object tracking
Yin, J.; Wang, W.; Meng, Q.; Yang, R.; and Shen, J. 2020 · 2020
Later among the works it cites.
Tracking objects as points
Zhou, X.; Koltun, V.; and Krähenbühl, P. 2020 · 2020
Later among the works it cites.
Quasi-dense similarity learning for multiple object tracking
Pang, J.; Qiu, L.; Li, X.; Chen, H.; Li, Q.; Darrell, T.; and Yu, F. 2021 · 2021
Closest in time.
Track to Detect and Segment: An Online Multi-Object Tracker
Wu, J.; Cao, J.; Song, L.; Wang, Y.; Yang, M.; and Yuan, J. 2021 · 2021
Closest in time.
Learn to match: Automatic matching network design for visual tracking
Zhang, Z.; Liu, Y.; Wang, X.; Li, B.; and Hu, W. 2021 · 2021
Closest in time.