关键词: OpenCV, Adaboost算法, Camshift算法, Kalman滤波, 人脸检测与跟踪

Abstract: As the improvement of the social public safety system, smart video surveillance technology based on face plays a big role in safety monitoring, video analysis and man-computer interaction systems, etc. Although the traditional Camshift algorithm can track the moving object quickly, it not only needs to set the tracking object by manually, but also fails to track the object easily while it is occluded and interfered by the same color obstructions. To resolve above-mentioned problems, this paper combines Adaboost, Camshift and Kalman filtering algorithm which based on the OpenCV to realize face detection and tracking automatically and accurately.

Key words: OpenCV, Adaboost algorithm, Camshift algorithm, Kalman filtering, face detection and tracking