Perceptual stimulus——A Bayesian-based integration of multi-visual-cue approach and its application

查看全文 作　　者：XUE JianRu ZHENG NanNing ZHONG XiaoPin PING [1]LinJiang

机构地区：[1]Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China

出　　处：《Chinese Science Bulletin》索引2008年第53卷第18期,共12页

基　　金：the National Natural Science Foundation of China (Grant Nos. 60405004 & 60635050);National Hi-Tech Project (Grant Nos. 2006AA01Z318 & 2006AA01Z192) 摘　　要：With the view that visual cue could be taken as a kind of stimulus, the study of the mechanism in the visual perception process by using visual cues in their probabilistic representation eventually leads to a class of statistical integration of multiple visual cues (IMVC) methods which have been applied widely in perceptual grouping, video analysis, and other basic problems in computer vision. In this paper, a survey on the basic ideas and recent advances of IMVC methods is presented, and much focus is on the models and algorithms of IMVC for video analysis within the framework of Bayesian estimation. Furthermore, two typical problems in video analysis, robust visual tracking and 'switching problem' in multi-target tracking (MTT) are taken as test beds to verify a series of Bayesian-based IMVC methods proposed by the authors. Furthermore, the relations between the statistical IMVC and the visual per- ception process, as well as potential future research work for IMVC, are discussed. 关键词：感知刺激贝氏统计视像分析视觉冲击

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Perceptual stimulus——A Bayesian-based integration of multi-visual-cue approach and its application

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