Projection Histogram Based Human Posture Recognition
Ping Guo, Zhenjiang Miao · 2006
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