关键词: 监控场景, 目标检测, 运动物体提取, 粒子滤波, 可视化背景提取

Abstract: Complete motion sequences sometimes can not be extracted accurately and effectively due to the presence of ambient occlusion in the surveillance scene. In view of that, a novel strategy combining Vibe algorithm with improved particle filter tracking is proposed. Firstly, extract all of the foreground contours of moving objects with ViBe, and then use the particle filter to detect and track the target object. Finally, the target object’s sequences can be extracted by intersection between contours and the target object, and by regulation of the tracking area. When the target object is occluded, the associated foreground contour detected in the tracking area can rejoin related contours to ensure the subsequent extraction. Experiments show that the algorithm can completely extract moving object’s motion sequences under both partial occlusion and global shelter conditions with good performances.

Key words: surveillance scene, target detection, moving objects extraction, particle filter, vibe