mlsanityData to 14 Oct 2026

Features for Multi-Target Multi-Camera Tracking and Re-Identification

arXiv 1803.10859 ↗First posted 28 Mar 2018cs.CVcited by 88

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Abstract (arXiv)

Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images of people similar to a person query image. We learn good features for both MTMCT and Re-ID with a convolutional neural network. Our contributions include an adaptive weighted triplet loss for training and a new technique for hard-identity mining. Our method outperforms the state of the art both on the DukeMTMC benchmarks for tracking, and on the Market-1501 and DukeMTMC-ReID benchmarks for Re-ID. We examine the correlation between good Re-ID and good MTMCT scores, and perform ablation studies to elucidate the contributions of the main components of our system. Code is available.

Key facts. Cited by 88 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Mar 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 28; 2022: 26; 2023: 11; 2024: 11; 2025: 6; 2026: 6.

88 papers.

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  1. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 518
  2. 2021Learning to Track with Object Permanencecited by 119
  3. 2023MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Trackingcited by 88
  4. 2021SiamMOT: Siamese Multi-Object Trackingcited by 62
  5. 2021Do Different Tracking Tasks Require Different Appearance Models?cited by 62
  6. 2022Unifying Short and Long-Term Tracking with Graph Hierarchiescited by 62
  7. 2022Waymo Open Dataset: Panoramic Video Panoptic Segmentationcited by 58
  8. 2021Learning a Proposal Classifier for Multiple Object Trackingcited by 42
  9. 2021VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wildcited by 39
  10. 2021Learning Compatible Embeddingscited by 37
  11. 2021DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Trackingcited by 31
  12. 2022CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusioncited by 31
38 more
  1. 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approachescited by 30
  2. 2021MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmarkcited by 29
  3. 2021One More Check: Making "Fake Background" Be Tracked Againcited by 25
  4. 2021Deep learning-based person re-identification methods: A survey and outlook of recent workscited by 23
  5. 2021Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformerscited by 21
  6. 2021Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identificationcited by 18
  7. 2023DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenescited by 17
  8. 2024Self-Supervised Multi-Object Tracking with Path Consistencycited by 16
  9. 2021Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Modelcited by 14
  10. 2022Large Scale Real-World Multi-Person Trackingcited by 14
  11. 2022Graph Neural Networks for Cross-Camera Data Associationcited by 13
  12. 2022Task-Oriented Communication for Edge Video Analyticscited by 13
  13. 2022Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Citiescited by 12
  14. 2023Learning Feature Recovery Transformer for Occluded Person Re-identificationcited by 12
  15. 2023S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representationscited by 12
  16. 2023DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusionscited by 12
  17. 2021Exploring the Quality of GAN Generated Images for Person Re-Identificationcited by 10
  18. 2021CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scalecited by 9
  19. 2022Multi-Object Tracking and Segmentation via Neural Message Passingcited by 9
  20. 2022Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Datacited by 9
  21. 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignmentcited by 9
  22. 2021Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVscited by 8
  23. 2022Recent Advances in Embedding Methods for Multi-Object Tracking: A Surveycited by 8
  24. 2024MCTR: Multi Camera Tracking Transformercited by 8
  25. 2022Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approachcited by 7
  26. 2024SPAMming Labels: Efficient Annotations for the Trackers of Tomorrowcited by 7
  27. 2021Global Correlation Network: End-to-End Joint Multi-Object Detection and Trackingcited by 5
  28. 2022Multiple Object Tracking from appearance by hierarchically clustering trackletscited by 5
  29. 2022End-to-end Tracking with a Multi-query Transformercited by 5
  30. 2024MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmarkcited by 5
  31. 2021Tracking Grow-Finish Pigs Across Large Pens Using Multiple Camerascited by 3
  32. 2021Adaptive Affinity for Associations in Multi-Target Multi-Camera Trackingcited by 3
  33. 2022Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identificationcited by 3
  34. 2022Local-Aware Global Attention Network for Person Re-Identification Based on Body and Hand Imagescited by 3
  35. 2023Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARscited by 3
  36. 2025NOOUGAT: Towards Unified Online and Offline Multi-Object Trackingcited by 3
  37. 2021A Survey of Fish Tracking Techniques Based on Computer Visioncited by 2
  38. 2022Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Reviewcited by 2

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