Real-Time Human Behavior Recognition in Intelligent Environment

In recent years, people pay more and more attention to security. Our system presented in this paper is a real-time application to intelligent environment security. It can recognize simple human behaviors and send out alert message intelligently based on human behavior analysis results. This paper mainly describes the behavior analysis methods used in the system, such as moving object detection, human region classification and eigenspace algorithm to recognize human behaviors. Since people usually change their appearances with different dressing, we process images with skeleton algorithm to reduce the impact of appearances. The skeleton structure image sets with all the postures is used to build general eigenspace. Once the general eigenspace is formed, we can recognize behaviors by projecting an unknown human posture into the eigenspace. In our application, six human behaviors (walking, standing, sitting, squatting, leaning and lying) are used. Experimental results show that our method is efficient to recognize these postures