mlsanityData to 14 Oct 2026

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association

arXiv 2507.10115 ↗First posted 14 Jul 2025cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

We propose a multi-camera multi-target (MCMT) tracking framework that ensures consistent global identity assignment across views using trajectory and appearance cues. The pipeline starts with BoT-SORT-based single-camera tracking, followed by an initial glance phase to initialize global IDs via trajectory-feature matching. In later frames, new tracklets are matched to existing global identities through a prioritized global matching strategy. New global IDs are only introduced when no sufficiently similar trajectory or feature match is found. 3D positions are estimated using depth maps and calibration for spatial validation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 48 references that are in the map. First posted on arXiv 14 Jul 2025.

Builds on

23 of 48 references.

References · 23

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  2. 2020End-to-End Object Detection with Transformerscited by 7,414
  3. 2017Mask R-CNNcited by 7,277
  4. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
  5. 2015Fast R-CNNcited by 2,933
  6. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,319
  7. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
  8. 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 982
  9. 2016Simple Online and Realtime Trackingcited by 868
  10. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
  11. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 552
  12. 2020Deep Learning for Person Re-identification: A Survey and Outlookcited by 549
11 more
  1. 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 490
  2. 2014Deep metric learning using Triplet networkcited by 422
  3. 2020MOT20: A benchmark for multi object tracking in crowded scenescited by 357
  4. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 320
  5. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 295
  6. 2022YOLOv6: A Single-Stage Object Detection Framework for Industrial Applicationscited by 275
  7. 2020MOTChallenge: A Benchmark for Single-Camera Multiple Target Trackingcited by 136
  8. 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignmentcited by 9
  9. 2024FeatureSORT: Essential Features for Effective Trackingcited by 8
  10. 2022SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Trackingcited by 6
  11. 2020A data-set of piercing needle through deformable objects for Deep Learning from Demonstrationscited by 3

Built on by

Not cited yet.