信息与电脑2024,Vol.36Issue(2) :152-155,231.

基于CycleGAN的多目视频中人体跌倒动作检测

Human Fall Motion Detection in Multi-Video Based on CycleGAN

关翔
信息与电脑2024,Vol.36Issue(2) :152-155,231.

基于CycleGAN的多目视频中人体跌倒动作检测

Human Fall Motion Detection in Multi-Video Based on CycleGAN

关翔1
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作者信息

  • 1. 沈阳航空航天大学,辽宁沈阳 110136
  • 折叠

摘要

基于CycleGAN模型分析多目视频中人体跌倒动作检测的内容,为解决人体跌倒动作检测中空间定位不准确的问题,提出新的研究思路与研究方向.在标记的人体运动捕获中,通过生成对抗网络,基于CycleGAN模型获取更加真实、清晰的图像,进而实现对人体运动特征的有效检测与捕获,为相关研究提供参考.

Abstract

Analyzing of the content of human fall motion detection in multi-video based on CycleGAN model,in order to solve the problem of inaccurate spatial positioning in human fall motion detection,we propose new research ideas and research directions.In the process of human motion capture,a more real and clear image is obtained based on the CycleGAN model by generating the antagonism network,which can effectively detect and capture the human motion features,to provide reference for relevant research.

关键词

CycleGAN/多目视频/人体/跌倒动作/运动检测

Key words

CycleGAN/multi-vision video/human body/fall action/motion detection

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出版年

2024
信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
参考文献量7
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