首页|基于CycleGAN的多目视频中人体跌倒动作检测

基于CycleGAN的多目视频中人体跌倒动作检测

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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.
Human Fall Motion Detection in Multi-Video Based on CycleGAN
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.

CycleGANmulti-vision videohuman bodyfall actionmotion detection

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沈阳航空航天大学,辽宁沈阳 110136

CycleGAN 多目视频 人体 跌倒动作 运动检测

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
年,卷(期):2024.36(2)
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