| 基于视觉识别的人体跌倒检测研究 |
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| 引用本文： | 吉承文,马超,张铁钢,冯世杰.基于视觉识别的人体跌倒检测研究[J].数字通信世界,2020(3):7-8. |
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| 作者姓名： | 吉承文 马超 张铁钢 冯世杰 |
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| 作者单位： | 海南电网有限责任公司信息通信分公司 |
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| 摘 要： | 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。
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| 关 键 词： | 跌倒检测 目标识别 YOLO 电力系统 |
Study on Human Fall Detection Based on Visual Recognition |
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| JI Chengwen,MA Chao,ZHANG Tiegang,FENG Shijie.Study on Human Fall Detection Based on Visual Recognition[J].Digital Communication World,2020(3):7-8. |
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| Authors: | JI Chengwen MA Chao ZHANG Tiegang FENG Shijie |
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| Affiliation: | (Information and Communication Branch of Hainan Power Grid Companyes,Haikou,570203) |
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| Abstract: | 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. |
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| Keywords: | Fall detection target recognition YOLO Power field |
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