【作者】 刘菲；

【导师】 刘志镜；

【作者基本信息】 西安电子科技大学 ， 计算机应用技术， 2007， 硕士

【摘要】 对于视频序列中人体运动的视觉分析是计算机视觉领域中日益受到重视的一个研究方向。该项研究有着广泛的应用价值(可应用于智能安全监控、人机接口、人体运动细节分析等方面)。尤其在美国受到恐怖袭击之后,全球日益关注安全问题。基于计算机视觉的智能安全监控系统不但能够高效地完成保障安全的任务,还能节省大量的人力物力,给社会带来很大的经济收益。因此本文主要针对智能安全监控方面的应用需求,设计了相应的人体运动分析系统。其中,在运动人体检测方面,本文将背景减除法与时间差分法相结合解决了传统方法无法从复杂背景中检测到较完整的运动人体轮廓的问题。并在此基础上,采用模板匹配方法的思想,实现了对于视频监控范围内的人体实施的行为进行主动分析,从而能够对一些异常的人体行为做出自动识别。更多还原

【Abstract】 Visual analysis of human motion from video sequences has been attached more and more important to computer visions recent few years. Research in this domain involves wide application (including security surveillance, human-computer interface, the details analysis of human movement, etc.).Especially after the event 9.11, security issues have been paid unprecedented attention around the whole world. The Intelligent Security Monitoring System based on computer vision not only completes the safeguard tasks efficiently, but also saves a great deal of human labor and efforts and provides as well as great economic benefits to the society.Focusing on the application of the Intelligent Security Monitoring, this paper designs a relevant human motion analysis system. On the research of the moving objects detection and extraction, combining the Background Subtraction and Temporal difference, this paper resolves the problem that current methods can’t obtain the integrated moving human contour. On this condition, using the technology of Template Matching, this paper achieves to automatically analyze the human activity, and then some exceptional human activity can be recognized.更多还原