关键词: 计算机视觉, 混合高斯模型, 全方位视觉传感器, 盗窃事件检测, 画面更新率

Abstract: This paper designed a system about theft detection to realize smart video surveillance in public locations. Firstly, aiming at the problem of small visual field, Omni-Directional Vision Sensors (ODVS) which have 360 degree and nondeadangle view were used to capture panoramic images of scene. Secondly, by processing the input video at different frame rates, two backgrounds were constructed: one for short-term and the other for long-term. A special background was detected by comparing the current frame with the background. Meanwhile, moving objects and static background could also be distinguished. The stolen object would be detected as a special background. Experimental results show that the system is robust enough to detect the stolen objects effectively.

Key words: computer vision, mixed Gaussian model, Omni-Directional Vision Sensor (ODVS), theft detection, frame rate