Research on Motion Segmentation By Integrating Maximizer of the Posterior Marginals with MAP

摘要：

A novel video motion object automatic segmentation algorithm based on Gaussian Markov random field is studied in this paper. In this algorithm, the probability density functions of the differente images are estimated as Gaussian mixture distributions,moving object detection algorithm based on integrating maximizer of the posterior marginals with MAP.Firstly,initial segmentation is applied to obtain number of the initial motions and the corresponding initial parameters of the motion model.Then the parameters are updated by using the given parameter estimation method. The experiment results show that the proposed algorithm here is effective.

关键词： Gibbs Random Field Moving object segmentation Maximizer of the Posterior Marginals MAP algorithm

作者: LINGHU Yong-fang SHU Heng

作者单位: Guizhou Colloge of Finance and Economics GuiYang ,China Guizhou Normal University GuiYang.China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 137-141

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）