Adaptive Graph-cut Algorithm to Video Moving Objects Segmentation Based on Eulers Elastica Model
The traditional graph-cut algorithm to video moving objects segmentation is based on the low-order MRF. The detected moving objects will be over-smoothing. In this paper, an adaptive graph-cut algorithm to video moving objects segmentation based on Eulers Elastica Model was proposed. The higher-order moving objects model is used to restrict the shape of moving object Experimental results show that the proposed method can effectively and stably segment moving objects from the video and can preserve sharp and detail features better than the traditional graph-cut algorithm.
Moving objects segmentation Graph-cut Eulers elastica kalman prediction
GUO Chunsheng GAO Haiyan
College of Communication Engineering,Hangzhou Dianzi University Hangzhou, China,(310018)
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
404-408
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）