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YOLO vs RT-DETR: Pedestrian Tracking Performance Compared

By PulseAugur Editorial · [1 sources] ·

A new research paper evaluates the performance of various object detection architectures and tracking algorithms for multi-pedestrian tracking in crowded scenarios. The study compares YOLO11, RT-DETR, and YOLO26 detector families with ByteTrack and BoT-SORT trackers across MOT17, MOT20, and SOMPT22 benchmarks. RT-DETR demonstrated superior tracking quality on MOT20, while YOLO26 variants offered a better balance of speed and quality on MOT17 and SOMPT22. The research also found that end-to-end inference did not consistently improve tracking over traditional Non-Maximum Suppression for YOLO26. AI

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RANK_REASON Research paper detailing comparative analysis of computer vision models and algorithms. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

YOLO vs RT-DETR: Pedestrian Tracking Performance Compared

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Research paper detailing comparative analysis of computer vision models and algorithms. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Pedro Manoel Herminio Alves, Dalton C\'ezane Gomes Valadares, Cl\'audio de Souza Baptista ·

    The Impact of Detector Architecture, Model Scale, and Scene Density on Multi-Pedestrian Tracking

    arXiv:2610.19369v1 Announce Type: cross Abstract: Pedestrian tracking in video is important for applications such as surveillance and scene analysis, but it becomes more challenging in crowded scenarios with frequent occlusions and rapid motion. This paper analyzes how detector a…

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