基于视觉识别的人体跌倒检测研究

Study on Human Fall Detection Based on Visual Recognition

文章研究了跌倒检测技术,采用性能优异的目标识别YOLO v3算法,提出基于视觉的跌倒检测方案,实现实时跌倒检测,可以为电力系统环境的工作人员提供一定的安全保障。

This paper studies the fall detection technology,adopts the target recognition YOLO v3 algorithm with excellent performance,puts forward the fall detection scheme based on vision,and realizes the real-time detection of fall,which can provide certain security for the staff in the power system environment.