Projection Histogram Based Human Posture Recognition

摘要

As different posture has different projection histogram pattern, the projection histogram can be used as one of the features to discriminate different postures. In this paper, a new method using projection histogram for static human posture recognition is proposed. It comprises of three key modules: background subtraction, projection histogram computing and template matching. Comparing with many other methods, our approach is fast, simple and less sensitive to noise. Using our new method, a system is implemented and tested with ten static postures. It can automatically recognize them with high percentage of right decisions.