mlsanityData to 14 Oct 2026

Training-Free Long-Term Multi-Object Tracking for Sports Video Analytics

arXiv 2608.15688 ↗First posted 16 Aug 2026cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

Long-term multi-object tracking in sports remains challenging due to frequent occlusions, rapid camera motion, and repeated player reappearances. We introduce McByte++, a training-free tracking-by-detection framework that integrates lightweight mask propagation, conditional camera motion compensation, and online re-identification within a unified pipeline. Compared to its predecessor, McByte++ substantially improves runtime efficiency while enhancing identity preservation. On SoccerNet-tracking and SportsMOT benchmarks, McByte++ achieves up to +3.0 HOTA and +6.1 IDF1 improvements over the original McByte in the online setting, with further gains when combined with offline global association. Replacing heavy segmentation components and optimizing motion modeling yields up to an order-of-magnitude speed increase. All results are obtained without detector retraining or dataset-specific tuning. Code will be made available at https://github.com/tstanczyk95/McBytePlusPlus.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 41 of its 53 references that are in the map. First posted on arXiv 16 Aug 2026.

Builds on

41 of 53 references.

References · 41

  1. 2023Segment Anythingcited by 8,234
  2. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
  3. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  4. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
  5. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 910
  6. 2025SAM 3: Segment Anything with Conceptscited by 906
  7. 2016Simple Online and Realtime Trackingcited by 868
  8. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
  9. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 692
  10. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 552
  11. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 518
  12. 2020Tracking Objects as Pointscited by 483
29 more
  1. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 439
  2. 2019Tracking without bells and whistlescited by 382
  3. 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 381
  4. 2022Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingcited by 346
  5. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 320
  6. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 295
  7. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  8. 2023Tracking Anything with Decoupled Video Segmentationcited by 197
  9. 2023Putting the Object Back into Video Object Segmentationcited by 188
  10. 2022MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectorscited by 148
  11. 2023Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identificationcited by 132
  12. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 131
  13. 2022Global Tracking Transformerscited by 110
  14. 2023MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Trackingcited by 88
  15. 2022SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videoscited by 80
  16. 2021Multiple Object Tracking with Correlation Learningcited by 67
  17. 2023Hybrid-SORT: Weak Cues Matter for Online Multi-Object Trackingcited by 67
  18. 2022Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Spacecited by 66
  19. 2022Unifying Short and Long-Term Tracking with Graph Hierarchiescited by 62
  20. 2024DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Predictioncited by 59
  21. 2024Matching Anything by Segmenting Anythingcited by 50
  22. 2023Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sportscited by 29
  23. 2024Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Trackingcited by 21
  24. 2025EdgeTAM: On-Device Track Anything Modelcited by 21
  25. 2024GTA: Global Tracklet Association for Multi-Object Tracking in Sportscited by 9
  26. 2025No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyondcited by 6
  27. 2025SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sportscited by 2
  28. 2026Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuitioncited by 2
  29. 2026Hypergraph-State Collaborative Reasoning for Multi-Object Trackingcited by 2

Built on by

Not cited yet.