To recognize the posture of rat automatically during behavioral experiment, a posture recognition algorithm based on contour curvature and hierarchical clustering analysis was proposed.

In order to realize intelligent surveillance in some places such as sentry and so on, this paper present an approach to multiple human body posture recognition based on Support Vector Machine.

RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.