Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition

被引：1

作者：

Cyganek, Boguslaw ^{[1
]}

Wozniak, Michal ^{[2
]}

机构：

[1] AGH Univ Sci & Technol, Al Mickiewicza 30, PL-30059 Krakow, Poland

[2] Wroclaw Univ Sci & Technol, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2017, PT I | 2017年 / 10245卷

关键词：

Background subtraction; Computer vision; Real-time computations; COMPUTER VISION SYSTEM; CLASSIFICATION;

D O I：

10.1007/978-3-319-59063-9_43

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We investigate performance of the classical PCA based background subtraction procedure and compare it with the robust PCA versions which are computationally demanding. We show that the simple PCA based version endowed with the fast eigen-decomposition method allows real-time operation on VGA video streams while offering accuracy comparable with some of the robust versions.

引用

页码：485 / 496

页数：12

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