一种静态背景下的运动目标提取算法

为了对静态背景下的运动目标进行快速、准确的提取 ,提出了一种新的运动目标自动提取算法 .该算法在传统的亮度信息的基础上 ,通过引入色差信息来作为预分割的参考 ,取得了较好的预分割效果 ;然后通过改进传统的 canny算法 ,使之能处理含有时间关系的两帧图象 ,以此来获得物体的精细边缘 ;最后设计了一种辅助边缘提取方法 ,结合精细边缘 ,以此来得到运动物体的连续边界 .实验表明 ,这是一种快速稳健的分割算法

An Algorithm for Object Segmentation in Static Scene

In this paper a novel algorithm is proposed for automatic segmentation of moving objects. Quick and precise abstraction of the moving objects enables a high level understanding and analysis of video contents and is very important in context based video coding (MPEG 4). Different from traditional approaches in which only luminace information is used, color information is also used in this algorithm as a reference in preprocess and the preprocess result is good. Traditional canny algorithm is improved here and is added a new ability to process two temporal correlative frames by which we get objects' refined but uncontinuous edges. An approach is proposed to get auxiliary edges by which refined edges are mended to be continuous edges of moving objects. Experimental results show that it's a fast and effective algorithm.