An economical wireless network monitored scheme for camera based intrusion detection at unattended sites

R. Hariprakash, S. Ananthi, K. Padmanabhan
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引用次数: 3

Abstract

Unattended locations today require detection of any mal-intentional intrusion. Sensors of the Pyroelectric (PIR) or Microwave reflecting (MW) types are commonly available for detecting intrusion by a human. In this paper, a digital video camera is interfaced to a computer, say a simple laptop, which has provision for wireless USB based Ethernet connection. The program developed monitors a site in view of the camera and positively detects an intrusion by video frame based evaluation. A novel and sensitive algorithm for detection of motion from video frames is based on integrating the pixel intensities in successive finite difference method over a set of circular and way contour paths in the field of view of the camera. The proposed method is very fast compared to area pixel methods thus far available. The detected intrusion and its location within the scene are instantly messaged through the wireless cellular network adaptor, such as the “Tata Photon” using a simple “Compaq” laptop. The image itself follows the detection. Thus, this method is cheaper than the expensive sensing devices based on MW or PIR.
基于摄像机的无人值守场所入侵检测的经济型无线网络监控方案
如今,无人值守的地点需要检测任何恶意入侵。热释电(PIR)或微波反射(MW)类型的传感器通常用于检测人类的入侵。在本文中,一个数字摄像机被连接到一台计算机,比如一台简单的笔记本电脑,它提供了基于无线USB的以太网连接。所开发的程序根据摄像机监视一个站点,并通过基于视频帧的评估积极地检测入侵。基于连续有限差分法对摄像机视场内一组圆形和环形轮廓路径上的像素强度进行积分,提出了一种新颖灵敏的视频帧运动检测算法。与目前可用的区域像素方法相比,该方法的速度非常快。侦测到的入侵及其在现场的位置会通过无线蜂窝网络适配器即时发送信息,例如使用简单的“康柏”笔记本电脑的“塔塔光子”。图像本身跟随检测。因此,该方法比基于MW或PIR的昂贵传感装置便宜。
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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