mlsanityData to 14 Oct 2026

RLM-Tracking: Online Multi-Pedestrian Tracking Supported by Relative Location Mapping

arXiv 2210.10477 ↗First posted 19 Oct 2022cs.CV cs.AIcited by 1

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Abstract (arXiv)

The problem of multi-object tracking is a fundamental computer vision research focus, widely used in public safety, transport, autonomous vehicles, robotics, and other regions involving artificial intelligence. Because of the complexity of natural scenes, object occlusion and semi-occlusion usually occur in fundamental tracking tasks. These can easily lead to ID switching, object loss, detect errors, and misaligned limitation boxes. These conditions have a significant impact on the precision of multi-object tracking. In this paper, we design a new multi-object tracker for the above issues that contains an object Relative Location Mapping (RLM) model and Target Region Density (TRD) model. The new tracker is more sensitive to the differences in position relationships between objects. It can introduce low-score detection frames into different regions in real-time according to the density of object regions in the video. This improves the accuracy of object tracking without consuming extensive arithmetic resources. Our study shows that the proposed model has considerably enhanced the HOTA and DF1 measurements on the MOT17 and MOT20 data sets when applied to the advanced MOT method.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 34 of its 47 references that are in the map. First posted on arXiv 19 Oct 2022.

Builds on

34 of 47 references.

References · 34

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22 more
  1. 2020Tracking Objects as Pointscited by 483
  2. 2019Tracking without bells and whistlescited by 382
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  14. 2018Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identificationcited by 96
  15. 2020Unsupervised Pre-training for Person Re-identificationcited by 95
  16. 2018Deep Affinity Network for Multiple Object Trackingcited by 82
  17. 2019Online Multi-Object Tracking with Dual Matching Attention Networkscited by 77
  18. 2021RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representationcited by 52
  19. 2017Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanismcited by 48
  20. 2021How Transferable are Reasoning Patterns in VQA?cited by 16
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  22. 2022DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Trackingcited by 1

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Citing papers per year: 2025: 1.

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  1. 2025TransientTrack: Advanced Multi-Object Tracking and Classification of Cancer Cells with Transient Fluorescent Signalscited by 1