基于机器视觉的遗留物检测算法

A remains detection algorithm based on machine vision

为解决公共场所安全的自动检测问题,提出一种基于机器视觉的遗留物检测算法。该算法采用背景差分法实现对视野外来物的检测。同时,采用帧间差分法检测外来物的静止或移动状态,并根据物体静止停留的时间判断静止前景的属性。实验结果表明,该算法可准确检测出监视区中出现或丢失的物体,对其位置加以标识,并发出遗留物报警或失物报警信号。

In order to solve the security problem in public places,a remains detection algorithm based on machine vision is proposed.The background difference method is used to detect new objects in the field of view.At the same time,the interframe difference algorithm is adopted to detect the motion status of all new objects,and the properties of the stationary foreground are judged according to the static time.Experimental results show that this algorithm can identify remains and mark their positions accurately.