Correlation Pattern Recognition in Nonoverlapping Scene Using a Noisy Reference

被引：0

作者：

Aguilar-Gonzalez, Pablo M. ^{[1
]}

Kober, Vitaly ^{[1
]}

机构：

[1] Ctr Invest Cient & Educ Super Ensenada, Dept Comp Sci, Ensenada 22860, Baja California, Mexico

来源：

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, PROCEEDINGS | 2009年 / 5856卷

关键词：

correlation filters; pattern recognition; CORRELATION FILTERS; TARGET; DESIGN; SIGNAL;

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：

Correlation filters for recognition of a target in nonoverlapping background noise are proposed. The object to be recognized is given implicitly; that is, it is placed in a noisy reference image at unknown coordinates. For the filters design two performance criteria are used: signal-to-noise ratio and peak-to-output energy. Computer simulations results obtained with the proposed filters are discussed and compared with those of classical correlation filters in terms of discrimination capability.

引用

页码：555 / 562

页数：8

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