A survey of occlusion detection method for visual object

被引:0
|
作者
张世辉 [1 ,2 ]
He Huan [1 ]
Liu Jianxin [1 ]
Zhang Yucheng [1 ]
Pang Yunchong [1 ]
Sang Yu [1 ]
机构
[1] School of Information Science and Engineering,Yanshan University
[2] The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province
基金
中国国家自然科学基金;
关键词
visual object; occlusion detection; intensity image; depth image;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
Occlusion problem is one of the challenging issues in vision field for a long time,and the occlusion phenomenon of visual object will be involved in many vision research fields. Once the occlusion occurs in a visual system,it will affect the effects of object recognition,tracking,observation and operation,so detecting occlusion autonomously should be one of the abilities for an intelligent vision system. The research on occlusion detection method for visual object has increasingly attracted attentions of scholars. First,the definition and classification of the occlusion problem are presented.Then,the characteristics and deficiencies of the occlusion detection methods based on the intensity image and the depth image are analyzed respectively,and the existing occlusion detection methods are compared. Finally,the problems of existing occlusion detection methods and possible research directions are pointed out.
引用
收藏
页码:256 / 265
页数:10
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