基于码本模型的运动阴影去除算法

Moving ShadowRemoval Algorithm Based on Codebook Model

运动阴影会导致运动目标前景发生形变或丢失,影响运动目标前景的跟踪和分析。针对该问题,引入码本模型设计运动阴影去除算法。利用在YCb Cr颜色空间内建立的背景码本模型,检测包含运动前景目标和运动阴影的运动区域,并根据运动阴影在YCb Cr颜色空间中的特性得到运动区域中表示运动阴影的像素值,为视频帧中所有不同位置的像素点建立一个具有自适应亮度范围阈值和色度距离阈值的运动阴影码本模型,实现运动阴影的检测和去除。实验结果表明,该算法可有效提高运动阴影的检测率和识别率。

The moving shadow will result in deformed or missing foreground targets, which affects the tracking and analyzing of the moving target foreground. To solve this problem,this paper designs a moving shadow removal algorithm by introducing codebook model. This algorithm detects moving regions which included foreground targets and moving shadow by background codebook model constructed in YCbCr color space. According to the property of moving shadow in YCbCr color space,it gets the pixel values that represent moving shadow in moving region and establishes a moving shadow codebook model which has self-adaptive thresholds of brightness range and color distortion for all pixels in different locations in video frame, so as to implement detection and removal of motion shadow. Experimental results show that the proposed algorithm can effectively improve the detection rate and recognition rate of moving shadow.