Kernel Density Estimation Method Basing on Color and Motion Features Frame for Moving Object Detection

被引：0
|
作者：
Guo, Yu [1 ]
Shen, Ziqiang [1 ]
机构：
[1] Nantong Univ, Sch Comp Sci & Technol, Nantong, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND COGNITIVE INFORMATICS | 2015年
关键词：
kernel density; feature frame; color feature; motion feature;
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：
Due to large calculations and complex background updating problems of kernel density estimation, this paper proposes a feature frame building method based on the combination of color feature and motion information, using this method to extract the number of samples N, it can not only reflect the global information of image but also reflect local information variations of image, besides it can effectively solve the inaccurate problem of the sample numbers, thereby enhancing the instantaneity of kernel density estimation algorithm.
引用
收藏
页码：77 / 81
页数：5
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