A Novel Fast Human Face Searching Algorithm Based On Evolutionary Agent

Human face detection is a key technology in face information processing, the speed of which is very important during real-time face detection for input images or input video sequences. This paper presents a novel face window searching algorithm based on evolutionary agent when detecting faces in gray-scale images. It can quickly find the candidate face windows through the evolutionary computation of distributed agents, which represent different kind of windows. Experimental results show that the evolutionary agent-based searching algorithm can increase the detection speed by 5-7 times compared with the traditional exhaustive searching method used in some general algorithms.