mlsanityData to 7 Oct 2026

SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes

arXiv 2211.07173 ↗First posted 14 Nov 2022cs.CVcited by 5

Not on the map. Why?

Abstract (arXiv)

The SportsMOT dataset aims to solve multiple object tracking of athletes in different sports scenes such as basketball or soccer. The dataset is challenging because of the unstable camera view, athletes' complex trajectory, and complicated background. Previous MOT methods can not match enough high-quality tracks of athletes. To pursue higher performance of MOT in sports scenes, we introduce an innovative tracker named SportsTrack, we utilize tracking by detection as our detection paradigm. Then we will introduce a three-stage matching process to solve the motion blur and body overlapping in sports scenes. Meanwhile, we present another innovation point: one-to-many correspondence between detection bboxes and crowded tracks to handle the overlap of athletes' bodies during sports competitions. Compared to other trackers such as BOT-SORT and ByteTrack, We carefully restored edge-lost tracks that were ignored by other trackers. Finally, we reached the SOTA result in the SportsMOT dataset.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 32 of its 42 references that are in the map. First posted on arXiv 14 Nov 2022.

Builds on

32 of 42 references.

References · 32

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2015Fast R-CNNcited by 2,930
  4. 2018YOLOv3: An Incremental Improvementcited by 2,652
  5. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
  6. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
  7. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  8. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,064
  9. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 908
  10. 2016Simple Online and Realtime Trackingcited by 862
  11. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 812
  12. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 685
20 more
  1. 2016Fully-Convolutional Siamese Networks for Object Trackingcited by 566
  2. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 546
  3. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 515
  4. 2020Tracking Objects as Pointscited by 483
  5. 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 379
  6. 2020TransTrack: Multiple Object Tracking with Transformercited by 370
  7. 2020MOT20: A benchmark for multi object tracking in crowded scenescited by 355
  8. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  9. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 292
  10. 2020FastReID: A Pytorch Toolbox for General Instance Re-identificationcited by 164
  11. 2021Track to Detect and Segment: An Online Multi-Object Trackercited by 156
  12. 2020Rethinking the competition between detection and ReID in Multi-Object Trackingcited by 101
  13. 2021TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Trackingcited by 93
  14. 2019Learning Generalisable Omni-Scale Representations for Person Re-Identificationcited by 73
  15. 2020RetinaTrack: Online Single Stage Joint Detection and Trackingcited by 67
  16. 2019Torchreid: A Library for Deep Learning Person Re-Identification in Pytorchcited by 41
  17. 2021VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wildcited by 39
  18. 2021One More Check: Making "Fake Background" Be Tracked Againcited by 25
  19. 2018Detect or Track: Towards Cost-Effective Video Object Detection/Trackingcited by 18
  20. 2018Integrated Object Detection and Tracking with Tracklet-Conditioned Detectioncited by 17

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 0; 2026: 1.

5 papers.

  1. 2026Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Groundingcited by 132
  2. 2023Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sportscited by 29
  3. 2024TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videoscited by 11
  4. 2024Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Trackingcited by 4
  5. 2023Runner re-identification from single-view running video in the open-world settingcited by 1