Posture and Activity Recognition Using Projection Histogram and PCA Methods

In this paper, we propose an intelligent surveillance system which can detect human, recognize certain postures and activities, and send out informing SMS messages when abnormal activities are detected. Nine static postures can be recognized using universal eigenspace technique and projection histogram matching method. After recognizing static postures, Hidden Markov Models are used to recognize human behaviors. If the behavior is regarded as an abnormal activity, an informing message will be sent out.

[1]  Tiziana D'Orazio,et al.  Complex human activity recognition for monitoring wide outdoor environments , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[2]  Zhenjiang Miao,et al.  Projection Histogram Based Human Posture Recognition , 2006, 2006 8th international Conference on Signal Processing.

[3]  Seiji Ishikawa,et al.  Recognizing human behavior using universal eigenspace , 2002, Object recognition supported by user interaction for service robots.

[4]  Zhenjiang Miao,et al.  Human behavior analysis and its application to a pervasive computing security system , 2006 .

[5]  Rita Cucchiara,et al.  Probabilistic posture classification for Human-behavior analysis , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.