数字图像处理在家庭安防系统中的应用

Application of Digital Image Processing in the Home Security System

家庭安防系统已经逐步进入人们的生活,数字图像处理技术在该系统中有着非常重要的应用。介绍了该系统中数字图像的获取方法,对图像进行灰度降解以及图像增强的方法。家庭安防系统一般采用背景减法来进行防卫对象的识别,根据一定时间间隔来提取背景,建立背景模型库,利用更新因子对背景模型进行更新。采用了报警装置与图像目标检测的双重防卫机制,在家庭不同区域预设不同的防卫检测目标。

The family security system has gradually come into people＇s life, in which the digital image processing technology plays an important part. This paper introduces the methods of digital image acquisition, gray degradation and image enhancement in the system. The home security system generally uses background subtraction to identify defense object. It extracts the background and build the background model base according to a certain time interval and utilize the update factor to update the background model. Meanwhile this system adopts double defense mechanism of the alarm device and image target detection, where the different detec- tion targets for defense in different regions of the family are preset.