摘要
文章针对在变化区域内运动对象的分割,提出了一种基于块的帧差处理方法,对差分图象进行噪声分析和能量分析,利用块矩和能量的双重约束来检测变化区域。后续的空间分割时,在变化区域外接矩形内用区域生长法修正检测结果,取得具有精确边界的运动对象。实验结果表明这种算法兼顾了实时性和精确性,能有效地分割出视频序列中的运动对象。
This paper presents a moving object segmentation algorithm based on change region detection. In the part of change region detection we introduce a new frame difference method based on block processing which has a high implementation speed. According to noise analysis and energy analysis of difference image, we estimate change region based on both energy and higher order moment. Then, region-growing only in the change region is used for locating the boundary of moving objects. Experimental results demonstrate that the algorithm is real-time and effective.
出处
《信息工程大学学报》
2004年第2期83-86,共4页
Journal of Information Engineering University
关键词
变化区域检测
运动对象分割
帧差
区域生长
change region detection
moving object segmentation
frame difference
region-growing
