The design of face detection system based on computer vision technology

Through the research for AdaBoost face detection algorithm based on Haar-like features,make use of the cascade classifier trained by this algorithm and computer vision library OpenCV to design a face detection system,realize face detection and mark based on static image,camera video and avi video,finish displaying and saving the face region images marked by rectangles real-timely.Besides,achieve the development of software interface by VC++ 6.0.The experiment result shows that the face detection system has features of short develop cycle,rapid detection,real-time and high detection rate,which can be used for the bases of face recognition system and face tracking system.