关键词: 码书, 双摄机协同, 人脸检测, 跟踪

Abstract: The major aim for modern video surveillance is to capture clear imagery of Region of Interest (ROI) in large-scale and scene. However, it is hard to achieve the goal by zooming when the ROI is far from the surveillance system. A station-motion camera system was designed to acquire the detailed and overall information of pedestrian at distance to obtain the facial feature. A stationary wide Field Of View (FOV) camera was used to monitor an environment for detecting pedestrians by improved Codebook background subtraction. Then a Pan-Tilt-Zoom (PTZ) camera was steered to track a target detected in the stationary camera, and zoomed in it speedily when pedestrian stopped moving. Afterwards, a face detection procedure used the images received from PTZ camera to obtain pedestrian face. Once the face was detected, PTZ camera put it in the center of the FOV and zoomed to acquire high-definition image. While the pedestrian continued moving, PTZ camera received the location of pedestrian from the station camera and tracked it continually. The experiments on real indoor and outdoor environments show that the proposed wide FOV camera pedestrian detection algorithm is robust to illumination variations, and the PTZ camera can track and zoom in the face of pedestrians. Besides, the speed of the method meets the real-time requirement.

Key words: Codebook, dual-camera cooperation, face detection, tracking