摘要
针对Vi Be算法在第1帧图像中含有运动目标时容易引入Ghost区域以及不能很好地去除阴影等问题.我们基于块的背景建模结合傅里叶变换,对Vi Be算法进行了改进.该算法对每一帧图像进行分块,在块内使用快速傅里叶变换,利用第1帧图像中每一块的直流分量建立背景模型,以后各帧与背景模型比较,检测出运动物体,最后通过扫描图像计算每一列前景像素的个数与设置的阈值进行比较,来消除阴影.实验结果表明,改进的算法可以快速的去掉Ghost区域以及很好地去除阴影.
As the ViBe algorithm will introduce an artifact commonly called a ghost when there are moving objects in the first frame and can＇ t remove the shadow, an improved ViBe algorithm based on block and Fourier transform is proposed. Every frame image is divided into several block and each block carries out fast Fourier transform, then the value of dc component of every block in the first frame is used to build background model. Then, starting from the second frame, the dc component of current block is compared with the corresponding sample set to detect the mov- ing objects. Lastly, the shadow is removed by comparing the foreground numbers in every column of image with the threshold value. The experimental results show that this algorithm can quickly get rid of the ghost area, and it can be good remove the shadow region.
出处
《云南民族大学学报（自然科学版）》
CAS
2015年第5期422-425,共4页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
安徽省自然科学基金(1408085MF130)
安徽省高校省级自然科学研究项目(KJ2013A229)
安徽省高校自然科学研究一般项目(KJ2014B24)
