Multiple Video Object Segmentation Based on Maximization of the
A Posteriori Probability of Spatio-Temporal Label Field
Bao Hong-qiang①;Zhang Zhao-yang②
①School of Communication and Information Engineering, Shanghai University, Shanghai 200072,China; ②Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai 200072,China
Abstract：This paper presents a novel multiple object segmentation algorithm based on a Bayesian framework. According to the characteristic of the intra-frame and inter-frame (spatial and temporal) information, a representation of Maximization of the A posteriori Probability(MAP) of spatio-temporal label field is proposed. So a minimization of energy function is obtained. The optimization of solution is carried out by Iterated Conditional Mode(ICM) method. The initial segmentation label fields is gotten using vector histogram. The experimental results show that the algorithm is effective to multiple object segmentation with partial occlusion.
包红强; 张兆扬. 基于时空标记场最大后验概率的多视频对象分割算法[J]. 电子与信息学报, 2006, 28(2): 232-236 .
Bao Hong-qiang①;Zhang Zhao-yang② . Multiple Video Object Segmentation Based on Maximization of the
A Posteriori Probability of Spatio-Temporal Label Field. , 2006, 28(2): 232-236 .
2006, Vol. 28 
