Detection Of Concealed Weapons Using Image Processing Techniques: A Review

R. Mahajan, Devanand Padha
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引用次数: 6

Abstract

In today’s modern era security is one of the major concern. The security surveillance cameras are installed everywhere in order to detect any kind of concealed object which may pose a threat to the security. The concealed object can be any kind of firearms or any weapon including knife, scissors, etc. The researchers have focused on techniques to track and detect concealed objects. The process involves the feature extraction of arms, segmentation of images with any concealed object and detection of the weapon. This paper deals with the various techniques used for detection of concealed objects and the respective pitfalls in the current security system.
基于图像处理技术的隐蔽武器检测研究进展
在当今的现代时代,安全是主要关注的问题之一。安防监控摄像机的安装无处不在,目的是发现任何可能对安全构成威胁的隐蔽物体。隐蔽物品可以是任何种类的枪支或者包括刀、剪等在内的任何武器。研究人员专注于追踪和探测隐藏物体的技术。该过程包括武器的特征提取,任何隐藏物体的图像分割和武器的检测。本文讨论了当前安防系统中用于检测隐藏物体的各种技术及其各自的缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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