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POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

arXiv 1610.06136 ↗First posted 19 Oct 2016cs.CVcited by 74

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Abstract (arXiv)

Detection and learning based appearance feature play the central role in data association based multiple object tracking (MOT), but most recent MOT works usually ignore them and only focus on the hand-crafted feature and association algorithms. In this paper, we explore the high-performance detection and deep learning based appearance feature, and show that they lead to significantly better MOT results in both online and offline setting. We make our detection and appearance feature publicly available. In the following part, we first summarize the detection and appearance feature, and then introduce our tracker named Person of Interest (POI), which has both online and offline version.

Key facts. Cited by 74 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Oct 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 21; 2022: 24; 2023: 13; 2024: 10; 2025: 4; 2026: 2.

74 papers.

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  1. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  2. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  3. 2021Track to Detect and Segment: An Online Multi-Object Trackercited by 156
  4. 2021SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentationcited by 87
  5. 2021Monocular Quasi-Dense 3D Object Trackingcited by 80
  6. 2021Multiple Object Tracking with Correlation Learningcited by 67
  7. 2021Do Different Tracking Tasks Require Different Appearance Models?cited by 62
  8. 2022QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Trackingcited by 61
  9. 2021RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representationcited by 52
  10. 2022Simple Cues Lead to a Strong Multi-Object Trackercited by 44
  11. 2022Unified Transformer Tracker for Object Trackingcited by 31
  12. 2022CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusioncited by 31
38 more
  1. 2023iKUN: Speak to Trackers without Retrainingcited by 31
  2. 2021One More Check: Making "Fake Background" Be Tracked Againcited by 25
  3. 2023Focus On Details: Online Multi-object Tracking with Diverse Fine-grained Representationcited by 25
  4. 2021Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streamingcited by 17
  5. 2021Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Modelcited by 14
  6. 2022Deep Learning Serves Traffic Safety Analysis: A Forward-looking Reviewcited by 13
  7. 2024Visual Multi-Object Tracking with Re-Identification and Occlusion Handling using Labeled Random Finite Setscited by 11
  8. 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignmentcited by 9
  9. 2021Multiple Object Tracking with Mixture Density Networks for Trajectory Estimationcited by 8
  10. 2024Learning Data Association for Multi-Object Tracking using Only Coordinatescited by 8
  11. 2024FeatureSORT: Essential Features for Effective Trackingcited by 8
  12. 2021Few-Shot Video Object Detectioncited by 7
  13. 2024Track Initialization and Re-Identification for~3D Multi-View Multi-Object Trackingcited by 7
  14. 2022Real-time Online Multi-Object Tracking in Compressed Domaincited by 6
  15. 2022Towards Frame Rate Agnostic Multi-Object Trackingcited by 6
  16. 2023AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributescited by 6
  17. 2021Privacy-sensitive Objects Pixelation for Live Video Streamingcited by 5
  18. 2021Motion Vector Extrapolation for Video Object Detectioncited by 5
  19. 2022PatchTrack: Multiple Object Tracking Using Frame Patchescited by 5
  20. 2022Can Deep Learning be Applied to Model-Based Multi-Object Tracking?cited by 5
  21. 2023Spatio-Temporal Point Process for Multiple Object Trackingcited by 5
  22. 2021Simple online and real-time tracking with occlusion handlingcited by 4
  23. 2024OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Trackingcited by 4
  24. 2025FastTracker: Real-Time and Accurate Visual Trackingcited by 4
  25. 2021On the detection-to-track association for online multi-object trackingcited by 3
  26. 2021Adaptive Affinity for Associations in Multi-Target Multi-Camera Trackingcited by 3
  27. 2025YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-IDcited by 3
  28. 2022Fast Online and Relational Trackingcited by 2
  29. 2022SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Featurescited by 2
  30. 2023Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approachcited by 2
  31. 2023CityTrack: Improving City-Scale Multi-Camera Multi-Target Tracking by Location-Aware Tracking and Box-Grained Matchingcited by 2
  32. 2023Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Trackingcited by 2
  33. 2023NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Countingcited by 2
  34. 2024SFSORT: Scene Features-based Simple Online Real-Time Trackercited by 2
  35. 2021Tuna Nutriment Tracking using Trajectory Mapping in Application to Aquaculture Fish Tankcited by 1
  36. 2021Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackerscited by 1
  37. 2021Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersectionscited by 1
  38. 2022TR-MOT: Multi-Object Tracking by Referencecited by 1

50 most cited of 74 All 74 (JSON)