A texture-based method for modeling the background and detecting moving objects

被引：846

作者：

Heikkilä, M ^{[1
]}

Pietikäinen, M ^{[1
]}

机构：

[1] Univ Oulu, Machine Vis Grp, Dept Elect & Informat Engn, Oulu 90014, Finland

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2006年 / 28卷 / 04期

基金：

芬兰科学院;

关键词：

motion; texture; background subtraction; local binary pattern;

D O I：

10.1109/TPAMI.2006.68

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence. Each pixel is modeled as a group of adaptive local binary pattern histograms that are calculated over a circular region around the pixel. The approach provides us with many advantages compared to the state-of-the-art. Experimental results clearly justify our model.

引用

页码：657 / 662

页数：6

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