Adaptive Graph-cut Algorithm to Video Moving Objects Segmentation

被引：0
|
作者：
Guo Chun-sheng [1 ]
Wang Pan [1 ]
机构：
[1] Hangzhou Dianzi Univ, Coll Commun Engn, Hangzhou, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
Moving objects segmentation; Graph-cut; Markov random field; Kalman prediction;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An adaptive Graph-cut algorithm to video moving objects segmentation was proposed. By the Kalman prediction of the number of objectives pixels and objectives-background pixel-pairs, and adaptive updating of the nodes flux, the Graph-cut algorithm was successfully applied to video moving objects segmentation. It was achieve to continuous global optimization segmentation of video moving objects. Experimental results show that the quantitative detection parameters of this algorithm are performing well in complex background conditions.
引用
收藏
页码：2085 / 2089
页数：5
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