结合三帧差分的ViBe运动检测算法

Motion Object Detection Combined Vi Be with Three-Frame Differential

提出一种以Vi Be算法为基础,结合三帧差分思想的运动目标检测算法.利用Vi Be算法对每个像素点建模,当前帧和模型得到的差分图与前一帧得到的差分图再进行与运算,之后运用Vi Be的思想对模型进行实时更新;同时在每一帧添加小波去噪处理,去除图像高频区域.本文算法有效地解决了光照变化对系统的影响,消除了影子问题,去除了闪烁背景点.实验结果表明,本文算法在多种环境下可以准确地提取运动目标,达到更好的鲁棒性.

Based on ViBe, this paper explores a new moving object detection algorithm combining with the three frame difference method. Firstly, we build model on every pixels of the background with the advantage of ViBe;then, do the logic AND operation between two differential images which have been subtracted from the current image and the previous image; lastly, update the model in real time with the idea of ViBe. Meanwhile, in order to remove the high frequency component of the image, we add wavelet denoising to every frame of the image. This algorithm effectively overcomes the effect of illumination change on the system and eliminates the ghost as well as the blinking background pixels. Experiments confirm that this algorithm can accurately extract moving objects in multiple environments and has higher robustness.