基于三维空间的多行人重识别方法

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摘要：为了解决监控中的遮挡问题和提高人群监控的准确性，该文提出了基于三维空间的多行人重识别方法，结果表明，该方面可以大幅提高监控系统的覆盖范围和人群监控系统在复杂环境下的识别与跟踪准确性，有效支持密集人群环境下的安全监控需求。

关键词：三维空间；行人重识别；人群监控

doi：10.3969/J.ISSN.1672-7274.2024.07.021

中图分类号：TP 3                           文献标志码：A            文章编码：1672-7274（2024）07-00-03

Multi-pedestrian Rerecognition Method Based on Three-dimensional Space

SUN Yiyang

（Hubei University. Wuhan 430062， China）

Abstract： In order to solve the occlusion problem and improve the accuracy of crowd monitoring， a multi-pedestrian rerecognition method based on three-dimensional space is proposed. The research results show that the coverage of the monitoring system and the identification and tracking accuracy of the crowd monitoring system in complex environments can be greatly improved， and the security monitoring requirements in dense crowd environments can be effectively supported.

Keywords： three-dimensional space; pedestrian rerecognition; crowd monitoring

1   研究背景

当前，目标识别、目标跟踪等技术已广泛应用于视频监控领域。（剩余3938字）