HLBP model method with color and location information about moving objects detection

被引：0

作者：

He, Xiaochuan ^{[1
]}

Xu, Luping ^{[1
]}

Feng, Dongzhu ^{[1
]}

Yu, Hang ^{[1
]}

机构：

[1] School of Aerospace Science and Technology, Xidian Univ., Xi'an

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2015年 / 42卷 / 04期

关键词：

Background subtraction algorithm; Gaussian mixture model; Local binary pattern (LBP); Multiple features; Object detection;

D O I：

10.3969/j.issn.1001-2400.2015.04.005

中图分类号：

学科分类号：

摘要：

This paper proposes a background subtraction algorithm using the Gaussian mixture model to combine multiple features which include the Haar-LBP (HLBP) texture model, and color and location information. Experimental results validate the effectiveness of the proposed algorithm, which can not only detects an object timely and precisely, but also obtain a higher shadow detection rate and robustness to camera shake. ©, 2015, Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University. All right reserved.

引用

页码：27 / 32and158

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