Shape descriptors based detection of concealed weapons in millimeter-wave data

被引：10

作者：

Slamani, MA ^{[1
]}

Ferris, DD ^{[1
]}

机构：

[1] ITT Ind, AES, Rome, NY 13441 USA

来源：

OPTICAL PATTERN RECOGNITION XII | 2001年 / 4387卷

关键词：

concealed weapon detection; Fourier descriptors; circularity; moments; millimeter-wave sensor;

D O I：

10.1117/12.421137

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Shape parameters based on circularity, Fourier descriptors, and invariant moments are studied for the automatic detection of weapons in Millimeter-wave data. The data is collected by a 30-frames-per-second Millimeter-wave (MMW) imager manufactured by Trex Enterprises for the detection of weapons concealed underneath a person's clothing. Results are illustrated through processing real MMW data.

引用

页码：176 / 185

页数：10