mlsanityData to 7 Oct 2026

Simple Online and Realtime Tracking

arXiv 1602.00763 ↗First posted 2 Feb 2016cs.CVcited by 862

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Abstract (arXiv)

This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications. To this end, detection quality is identified as a key factor influencing tracking performance, where changing the detector can improve tracking by up to 18.9%. Despite only using a rudimentary combination of familiar techniques such as the Kalman Filter and Hungarian algorithm for the tracking components, this approach achieves an accuracy comparable to state-of-the-art online trackers. Furthermore, due to the simplicity of our tracking method, the tracker updates at a rate of 260 Hz which is over 20x faster than other state-of-the-art trackers.

Key facts. Cited by 862 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Feb 2016.

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Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 111; 2022: 150; 2023: 168; 2024: 177; 2025: 143; 2026: 112.

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  1. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 812
  2. 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 379
  3. 2022Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingcited by 345
  4. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  5. 2022CelebV-HQ: A Large-Scale Video Facial Attributes Datasetcited by 246
  6. 2021DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motioncited by 213
  7. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  8. 2022VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolutioncited by 174
  9. 2022V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Drivingcited by 157
  10. 2021Track to Detect and Segment: An Online Multi-Object Trackercited by 156
  11. 2022MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectorscited by 148
  12. 2023Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identificationcited by 130
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  1. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 130
  2. 2022Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?cited by 128
  3. 2021Learning to Track with Object Permanencecited by 117
  4. 2022Global Tracking Transformerscited by 110
  5. 2022Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videoscited by 110
  6. 2023CelebV-Text: A Large-Scale Facial Text-Video Datasetcited by 103
  7. 2021SimpleTrack: Understanding and Rethinking 3D Multi-object Trackingcited by 102
  8. 2021TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Trackingcited by 93
  9. 2022Towards Grand Unification of Object Trackingcited by 93
  10. 2023Referring Multi-Object Trackingcited by 91
  11. 2023Collaborative Perception in Autonomous Driving: Methods, Datasets and Challengescited by 87
  12. 2023MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Trackingcited by 86
  13. 2023LLM-grounded Video Diffusion Modelscited by 83
  14. 2022SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videoscited by 80
  15. 2022Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentationcited by 79
  16. 2021Object-Region Video Transformerscited by 73
  17. 2021STEP: Segmenting and Tracking Every Pixelcited by 72
  18. 2023General Object Foundation Model for Images and Videos at Scalecited by 71
  19. 2021Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoningcited by 68
  20. 2021MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?cited by 68
  21. 2021Multiple Object Tracking with Correlation Learningcited by 67
  22. 2022Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Spacecited by 66
  23. 2023Hybrid-SORT: Weak Cues Matter for Online Multi-Object Trackingcited by 66
  24. 2024TUMTraf V2X Cooperative Perception Datasetcited by 66
  25. 2023MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Trackingcited by 64
  26. 2021Stepwise Goal-Driven Networks for Trajectory Predictioncited by 62
  27. 2021SiamMOT: Siamese Multi-Object Trackingcited by 62
  28. 2022Unifying Short and Long-Term Tracking with Graph Hierarchiescited by 62
  29. 2022QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Trackingcited by 61
  30. 2023A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Futurecited by 59
  31. 2024DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Predictioncited by 59
  32. 2023EgoHumans: An Egocentric 3D Multi-Human Benchmarkcited by 58
  33. 2024Multiple Object Tracking as ID Predictioncited by 58
  34. 2021DEFT: Detection Embeddings for Trackingcited by 56
  35. 2021Exploring Simple 3D Multi-Object Tracking for Autonomous Drivingcited by 56
  36. 2023Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Trackingcited by 54
  37. 2023OVTrack: Open-Vocabulary Multiple Object Trackingcited by 53
  38. 2021RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representationcited by 52

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