mlsanityData to 7 Oct 2026

Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment

arXiv 2304.09471 ↗First posted 19 Apr 2023cs.CVcited by 9

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Abstract (arXiv)

Multi-camera multiple people tracking has become an increasingly important area of research due to the growing demand for accurate and efficient indoor people tracking systems, particularly in settings such as retail, healthcare centers, and transit hubs. We proposed a novel multi-camera multiple people tracking method that uses anchor-guided clustering for cross-camera re-identification and spatio-temporal consistency for geometry-based cross-camera ID reassigning. Our approach aims to improve the accuracy of tracking by identifying key features that are unique to every individual and utilizing the overlap of views between cameras to predict accurate trajectories without needing the actual camera parameters. The method has demonstrated robustness and effectiveness in handling both synthetic and real-world data. The proposed method is evaluated on CVPR AI City Challenge 2023 dataset, achieving IDF1 of 95.36% with the first-place ranking in the challenge. The code is available at: https://github.com/ipl-uw/AIC23_Track1_UWIPL_ETRI.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 34 of its 58 references that are in the map. First posted on arXiv 19 Apr 2023.

Builds on

34 of 58 references.

References · 34

  1. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
  2. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 961
  3. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 908
  4. 2016Simple Online and Realtime Trackingcited by 862
  5. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 812
  6. 2017In Defense of the Triplet Loss for Person Re-Identificationcited by 784
  7. 2020Deep Learning for Person Re-identification: A Survey and Outlookcited by 547
  8. 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 489
  9. 2019Tracking without bells and whistlescited by 382
  10. 2022Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingcited by 345
  11. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  12. 2019Towards Real-Time Multi-Object Trackingcited by 311
22 more
  1. 2018Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomizationcited by 292
  2. 2017Sampling Matters in Deep Embedding Learningcited by 285
  3. 2019MOTS: Multi-Object Tracking and Segmentationcited by 222
  4. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  5. 2019CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identificationcited by 119
  6. 2021Unsupervised Domain Adaptation of Object Detectors: A Surveycited by 93
  7. 2018Features for Multi-Target Multi-Camera Tracking and Re-Identificationcited by 88
  8. 2016POI: Multiple Object Tracking with High Performance Detection and Appearance Featurecited by 74
  9. 2019Learning Generalisable Omni-Scale Representations for Person Re-Identificationcited by 73
  10. 2018Batch DropBlock Network for Person Re-identification and Beyondcited by 45
  11. 2020Segment as Points for Efficient Online Multi-Object Tracking and Segmentationcited by 36
  12. 2021LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Trackingcited by 34
  13. 2021MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmarkcited by 28
  14. 2022The 6th AI City Challengecited by 23
  15. 2018Training Deep Face Recognition Systems with Synthetic Datacited by 22
  16. 2020Deep Domain Adaptive Object Detection: a Surveycited by 20
  17. 2023The 7th AI City Challengecited by 20
  18. 2020Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniquescited by 17
  19. 2020Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Modelcited by 11
  20. 2023A Unified Multi-view Multi-person Tracking Frameworkcited by 5
  21. 2023Multi-target multi-camera vehicle tracking using transformer-based camera link model and spatial-temporal informationcited by 4
  22. 2023Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoringcited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 4; 2026: 1.

9 papers.

  1. 2023Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sportscited by 29
  2. 2023Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Trackingcited by 3
  3. 2025Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregationcited by 1
  4. 2025Enhancing Multi-Camera Gymnast Tracking Through Domain Knowledge Integrationcited by 1
  5. 2024ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessmentcited by 0
  6. 2024A Robust Anchor-based Method for Multi-Camera Pedestrian Localizationcited by 0
  7. 2025Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Trackingcited by 0
  8. 2025Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Associationcited by 0
  9. 2026Understanding Identity Continuity in Thermal Video through Scene-Level Consistencycited by 0