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Updated: Jan 29, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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基于多模块协作和跨框架匹配优化,用于在城市道路上检测和跟踪行人异常的融合算法

Wei Zhao1, Xin Gong1, Lanlan Li1

  • 1School of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究引入了一个人工智能系统,用于使用YOLO-SGCF和BoT-SORT-ReID在交通中检测异常的人类行为. 改进后的模型实现了高精度和速度,在复杂的环境中性能优于现有的方法.

关键词:
在BoT-SORT-ReID中使用.检测异常行为 检测异常行为检测跟踪集成模型的综合模型.改进了YOLOv8的功能

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