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Despite recent progress in Multiple Object Tracking (MOT), several obstacles such as occlusions, similar objects, and complex scenes remain an open challenge.
Zhou, X.; Wang, D.; and Krähenbühl, P. 2019 · 1904
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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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YOLOv4: Optimal Speed and Accuracy of Object Detection
Bochkovskiy, A.; Wang, C.-Y.; and Liao, H.-y. 2020 · 2004
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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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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; Uszkoreit, J.; and Houlsby, N. 2020 · 2010
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TransTrack: Multiple-Object Tracking with Transformer
Sun, P.; Jiang, Y.; Rufeng, Z.; Xie, E.; Cao, J.; Hu, X.; Kong, T.; Yuan, Z.; Wang, C.; and Luo, P. 2020 · 2012
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An Approach to Pose-Based Action Recognition
Wang, C.; Wang, Y.; and Yuille, A. L. 2013 · 2013
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Microsoft COCO: Common Objects in Context
Lin, T.-Y.; Maire, M.; Belongie, S.; Bourdev, L.; Girshick, R.; Hays, J.; Perona, P.; Ramanan, D.; Zitnick, C. L.; and Dollár, P. 2014 · 2014
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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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SSD: Single Shot MultiBox Detector
Liu, W.; Anguelov, D.; Erhan, D.; Szegedy, C.; Reed, S.; Fu, C.-Y.; and Berg, A. C. 2016 · 2016
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MOT16: A Benchmark for Multi-Object Tracking
Milan, A.; Leal-Taixe, L.; Reid, I.; Roth, S.; and Schindler, K. 2016 · 2016
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You Only Look Once: Unified, Real-Time Object Detection
Redmon, J.; Divvala, S.; Girshick, R.; and Farhadi, A. 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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Learning discriminative activated simplices for action recognition
Luo, C.; Ma, C.; Wang, C.; and Wang, Y. 2017 · 2017
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YOLO9000: Better, Faster, Stronger
Redmon, J.; and Farhadi, A. 2017 · 2017
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A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos
Schöps, T.; Schönberger, J. L.; Galliani, S.; Sattler, T.; Schindler, K.; Pollefeys, M.; and Geiger, A. 2017 · 2017
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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
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.
Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
Bernardin, K.; and Stiefelhagen, R. 2018 · 2018
Cited alongside, same era.
HOTA: A higher order metric for evaluating multi-object tracking
Luiten, J.; Osep, A.; Dendorfer, P.; Torr, P.; Geiger, A.; Leal-Taixé, L.; and Leibe, B. 2021 · 2021
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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
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TransTrack: Transformer based Multiple Object Tracking
Peng, T.; Wang, Y.; Zou, Y.; Cao, Z.; Qiao, Y.; and Yuille, A. 2021 · 2021
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On the Performance of Crowd-Specific Detectors in Multi-Pedestrian Tracking
Stadler, D.; and Beyerer, J. 2021 · 2021
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Learning to Track with Object Permanence
Tokmakov, P.; Li, J.; Burgard, W.; and Gaidon, A. 2021 · 2021
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Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Wang, Y.; Kitani, K.; and Weng, X. 2021 · 2021
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Redmon, J.; and Farhadi, A. 2018 · 2018
Cited alongside, same era.
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shao, S.; Zhao, Z.; Li, B.; Xiao, T.; Yu, G.; Zhang, X.; and Sun, J. 2018 · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Chained-Tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
Peng, J.; Wang, L.; Wan, F.; Wu, Y.; Chen, Y.; and Tai, Y. 2020 · 2020
Cited alongside, same era.
ReMOT: A model-agnostic refinement for multiple object tracking
Zhang, Z.; Wang, L.; Wang, Z.; and Siu, W.-C. 2020 · 2020
Cited alongside, same era.
Tracking Objects as Points
Zhou, X.; Koltun, V.; and Krähenbühl, P. 2020 · 2020
Cited alongside, same era.
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Aharon, N.; Orfaig, R.; and Bobrovsky, B.-Z. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
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
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TransCenter: Transformers with Dense Representations for Multiple-Object Tracking
Xu, Y.; Ban, Y.; Delorme, G.; Gan, C.; Rus, D.; and Alameda-Pineda, X. 2021 · 2021
Later among the works it cites.
MOTSNet: A Unified Framework for Multi-Object Tracking and Segmentation
Yang, L.; Wang, P.; Li, X.; Wu, W.; and Luo, P. 2021 · 2021
Later among the works it cites.
RelationTrack: Relation-Aware Multiple Object Tracking With Decoupled Representation
Yu, E.; Li, Z.; Han, S.; and Wang, H. 2021 · 2021
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MOTR: End-to-end multiple-object tracking with transformer
Zeng, F.; Dong, B.; Zhang, Y.; Wang, T.; Zhang, X.; and Wei, Y. 2021 · 2021
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Improving Multiple Object Tracking With Single Object Tracking
Zheng, L.; Tang, M.; Chen, Y.; Zhu, G.; Wang, J.; and Lu, H. 2021 · 2021
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Deformable DETR: Deformable transformers for end-to-end object detection
Zhu, X.; Su, W.; Lu, L.; Li, B.; Wang, X.; and Dai, J. 2021 · 2021
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Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Cao, J.; Weng, X.; Khirodkar, R.; Pang, J.; and Kitani, K. 2022 · 2022
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TrackFormer: Multi-Object Tracking with Transformers
Meinhardt, T.; Kirillov, A.; Leal-Taixe, L.; and Feichtenhofer, C. 2022 · 2022
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Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds
Stadler, D.; and Beyerer, J. 2022 · 2022
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Strongsort: Make deepsort great again
Du, Y.; Zhao, Z.; Song, Y.; Zhao, Y.; Su, F.; Gong, T.; and Meng, H. 2023 · 2023
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