mlsanityData to 7 Oct 2026

Multiple Object Tracking: A Literature Review

arXiv 1409.7618 ↗First posted 26 Sep 2014cs.CVcited by 165

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Abstract (arXiv)

Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this problem, it still remains challenging due to factors like abrupt appearance changes and severe object occlusions. In this work, we contribute the first comprehensive and most recent review on this problem. We inspect the recent advances in various aspects and propose some interesting directions for future research. To the best of our knowledge, there has not been any extensive review on this topic in the community. We endeavor to provide a thorough review on the development of this problem in recent decades. The main contributions of this review are fourfold: 1) Key aspects in an MOT system, including formulation, categorization, key principles, evaluation of MOT are discussed; 2) Instead of enumerating individual works, we discuss existing approaches according to various aspects, in each of which methods are divided into different groups and each group is discussed in detail for the principles, advances and drawbacks; 3) We examine experiments of existing publications and summarize results on popular datasets to provide quantitative and comprehensive comparisons. By analyzing the results from different perspectives, we have verified some basic agreements in the field; and 4) We provide a discussion about issues of MOT research, as well as some interesting directions which will become potential research effort in the future.

Key facts. Cited by 165 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Sep 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 21; 2022: 30; 2023: 34; 2024: 41; 2025: 21; 2026: 18.

165 papers.

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  1. 2023Vision Language Models in Autonomous Driving: A Survey and Outlookcited by 124
  2. 2021Video Instance Segmentation using Inter-Frame Communication Transformerscited by 105
  3. 2021TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Trackingcited by 93
  4. 2021Proximal Optimal Transport Modeling of Population Dynamicscited by 91
  5. 2021Crossover Learning for Fast Online Video Instance Segmentationcited by 83
  6. 2021Monocular Quasi-Dense 3D Object Trackingcited by 80
  7. 2022SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videoscited by 80
  8. 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlookcited by 65
  9. 2021A Survey of Sound Source Localization with Deep Learning Methodscited by 45
  10. 2022AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wildcited by 37
  11. 2023Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attackcited by 37
  12. 2022Tracking Objects as Pixel-wise Distributionscited by 36
38 more
  1. 2021MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmarkcited by 28
  2. 2022TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTMcited by 26
  3. 2021One More Check: Making "Fake Background" Be Tracked Againcited by 25
  4. 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Countingcited by 24
  5. 2022SoK: On the Semantic AI Security in Autonomous Drivingcited by 22
  6. 2024NetTrack: Tracking Highly Dynamic Objects with a Netcited by 22
  7. 2021Capturing the objects of vision with neural networkscited by 21
  8. 2023TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenescited by 21
  9. 2024Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Trackingcited by 20
  10. 2024Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sportscited by 19
  11. 2022DR.VIC: Decomposition and Reasoning for Video Individual Countingcited by 18
  12. 2022Object Permanence Emerges in a Random Walk along Memorycited by 18
  13. 2023HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understandingcited by 18
  14. 2021Propagating State Uncertainty Through Trajectory Forecastingcited by 17
  15. 2021Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmarkcited by 17
  16. 2023Tracking through Containers and Occluders in the Wildcited by 15
  17. 2023FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flowcited by 15
  18. 2022Self-supervised Amodal Video Object Segmentationcited by 14
  19. 2024Trackastra: Transformer-based cell tracking for live-cell microscopycited by 14
  20. 2023InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentationcited by 13
  21. 2021Tracking Without Re-recognition in Humans and Machinescited by 12
  22. 2022TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videoscited by 12
  23. 2022In Pursuit of Many: A Review of Modern Multiple Object Tracking Systemscited by 12
  24. 2023S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representationscited by 12
  25. 2023Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perceptioncited by 12
  26. 2021Towards Balanced Learning for Instance Recognitioncited by 9
  27. 2022Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Datacited by 9
  28. 2024Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusioncited by 9
  29. 2024Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Surveycited by 9
  30. 2022Towards PAC Multi-Object Detection and Trackingcited by 8
  31. 2022Recent Advances in Embedding Methods for Multi-Object Tracking: A Surveycited by 8
  32. 2024RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environmentscited by 8
  33. 2024INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuningcited by 8
  34. 2022Real-Time Accident Detection in Traffic Surveillance Using Deep Learningcited by 7
  35. 2022End-to-end Transformer for Compressed Video Quality Enhancementcited by 7
  36. 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniquescited by 7
  37. 2023CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videoscited by 7
  38. 2021Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoderscited by 6

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