Head tracking algorithm based on particle filter under complex environment
Tao Wang · Jisuanji gongcheng yu sheji · 2005
Detecting and tracking human head in a complex background is one of the most important multimodal human-machine interfaces. A real time human head-tracking algorithm that is based on particle filter and improved head detecting algorithm is presented. Experimental results show that this algorithm can detect and track human head satisfactorily in various complex conditions such as head turning, sheltering, among multiple persons or in unconstrained backgrounds. This algorithm can be used in head tracking, image segmentation and face recognize.