Automatic Recognition of Human Walking in Monocular Image Sequences

In numerous content based video applications it is important to extract from a video se quence a representation for humans in motion This task is di cult because humans are not rigid objects and they are capable of performing a wide variety of actions However often human movements can be categorized into repetitive and rhythmic patterns of motion Identifying the motion pattern of a human signi cantly alleviates the task of construction of its representation We propose here a model based recognition of the generic posture of human walking in dynamic scenes We model the human body as an articulated object connected by joints and rigid parts and model the human walking as a periodic motion The recognition task is to t the model walker sequence to the walker in the live video data walker sequence We achieve this by determining the period of the data walker sequence and nding its phase with respect to the model walker sequence We present promising results of how our system performs with a live video sequence