Statistical and Entropy Based Multi Purpose Human Motion Analysis

摘要：

As visual surveillance systems are gaining wider usage in a variety of fields, they need to be embedded with the capability to interpret scenes automatically, which is known as human motion analysis (HMA). However, existing HMA methods are too domain specific and computationally expensive. This paper proposes a general purpose HMA method. It is based on the idea tbat buman beings tend to exhibit random motion patterns during abnormal situations. Hence, angular and linear displacements of limb movements are characterized using basic statistical quantities. In addition, it is enhanced with the entropy of the Fourier spectrum to measure the randomness of the abnormal behavior. Various experiments have been conducted and prove that the proposed method has very high classification accuracy in identifying anomalous behavior.

关键词： Entropy Image Processing Motion Analysis Neural Networks

作者: Chin-Poo Lee Kian-Ming Lim Wei-Lee Woon

作者单位: Faculty of Information Science and Technology Multimedia University Ayer Keroh, Malaysia Information Technology Program,Masdar Institute of Science and Technology,MASDAR, PO Box 54224, Abu

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 734-738

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）