一种新的基于ViBe的运动目标检测方法

Novel Moving Object Detection Method Based on ViBe

针对ViBe运动目标检测算法在实际环境中存在无法消除鬼影、阴影等干扰的问题,结合三帧差分、边缘检测等技术,提出了一种ViBe改进算法。预处理阶段通过三帧差分获得真实背景并消除鬼影,运动目标检测阶段结合先验知识和边缘检测方法获得真实的运动目标以消除阴影,目标描述与跟踪阶段运用像素标记分割方法得到目标描述并实现目标跟踪。实验结果表明,新方法在消除鬼影、阴影等干扰方面表现出了优越的性能,在交通监控实时视频流中具有理想的车辆检测和跟踪效果。

Because of such interferences as ghostand shadow which cannot be overcome by ViBe algorithm in moving object detection in practice, a new improved ViBe algorithm which combines inter-frame difference algorithm with edge detection technology was put forward in this paper. By using inter-frame difference algorithm in preprocessing stage, the true background can be gained and the ghost can be removed. And then according to prior knowledge and edge detection technology in moving object detection stage, the true moving object can be got to eliminate shadow. In addition, with pixel-labeled segmentation method, the description of moving obiect can be achieved and the obiect can be tracked. Even- tually these methods are applied to real-time traffic surveillance video and the experimental results show that these pro- posed methods have good performance in removing interfaces like ghostand shadow in moving cars detection and trac- king.