AttMOT:通过引入辅助行人属性来改善多个对象的跟踪

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Updated: May 2, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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Yunhao Li, Zhen Xiao, Lin Yang

    IEEE transactions on neural networks and learning systems
    |April 25, 2024
    PubMed
    概括

    这项研究引入了属性辅助多对象跟踪 (AttMOT),通过结合服装和发型等属性来增强行人跟踪. 新方法提高了对基准数据集的跟踪精度和重新识别性能.

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