mlsanityData to 7 Oct 2026

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

arXiv 1609.01775 ↗First posted 6 Sep 2016cs.CVcited by 685

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Abstract (arXiv)

To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types uniformly and emphasizes correct identification over sources of error; (ii) the largest fully-annotated and calibrated data set to date with more than 2 million frames of 1080p, 60fps video taken by 8 cameras observing more than 2,700 identities over 85 minutes; and (iii) a reference software system as a comparison baseline. We show that (i) our measures properly account for bottom-line identity match performance in the multi-camera setting; (ii) our data set poses realistic challenges to current trackers; and (iii) the performance of our system is comparable to the state of the art.

Key facts. Cited by 685 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Sep 2016.

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Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 149; 2022: 127; 2023: 113; 2024: 119; 2025: 97; 2026: 79.

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  1. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 812
  2. 2021Domain Generalization: A Surveycited by 760
  3. 2021Domain Generalization with MixStylecited by 563
  4. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 515
  5. 2021TransReID: Transformer-based Object Re-Identificationcited by 432
  6. 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 344
  7. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  8. 2021DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motioncited by 213
  9. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  10. 2023Video Understanding with Large Language Models: A Surveycited by 203
  11. 2022CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labelscited by 177
  12. 2022MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectorscited by 148
38 more
  1. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 130
  2. 2022Uncertainty Modeling for Out-of-Distribution Generalizationcited by 122
  3. 2021Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformercited by 119
  4. 2021Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationcited by 114
  5. 2021TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Trackingcited by 93
  6. 2021Cluster Contrast for Unsupervised Person Re-Identificationcited by 89
  7. 2023TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environmentscited by 89
  8. 2023MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Trackingcited by 86
  9. 2022A Survey on Long-Tailed Visual Recognitioncited by 75
  10. 2023Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmarkcited by 75
  11. 2021ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identificationcited by 69
  12. 2021MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?cited by 68
  13. 2021Multiple Object Tracking with Correlation Learningcited by 67
  14. 2021Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondencescited by 66
  15. 2022Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Spacecited by 66
  16. 2023Hybrid-SORT: Weak Cues Matter for Online Multi-Object Trackingcited by 66
  17. 2021MixStyle Neural Networks for Domain Generalization and Adaptationcited by 64
  18. 2023MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Trackingcited by 64
  19. 2024DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curationcited by 64
  20. 2022SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Datacited by 63
  21. 2021Do Different Tracking Tasks Require Different Appearance Models?cited by 62
  22. 2022Unifying Short and Long-Term Tracking with Graph Hierarchiescited by 62
  23. 2022QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Trackingcited by 61
  24. 2022Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Datasetcited by 61
  25. 2021SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Watercited by 59
  26. 2022Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationcited by 59
  27. 2024DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Predictioncited by 59
  28. 2021Group-aware Label Transfer for Domain Adaptive Person Re-identificationcited by 58
  29. 2023EgoHumans: An Egocentric 3D Multi-Human Benchmarkcited by 58
  30. 2024Multiple Object Tracking as ID Predictioncited by 58
  31. 2022NFormer: Robust Person Re-identification with Neighbor Transformercited by 57
  32. 2022Waymo Open Dataset: Panoramic Video Panoptic Segmentationcited by 57
  33. 2021DEFT: Detection Embeddings for Trackingcited by 56
  34. 2021Intra-Inter Camera Similarity for Unsupervised Person Re-Identificationcited by 52
  35. 2021IDM: An Intermediate Domain Module for Domain Adaptive Person Re-IDcited by 51
  36. 2021Opening up Open-World Trackingcited by 50
  37. 2021Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Paperscited by 49
  38. 2023SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depthcited by 48

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