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出 处:《现代计算机(中旬刊)》2017年第4期70-73,共4页Modern Computer
基 金:广东省科技计划项目(No.2013B090200020);广东省科技计划项目(No.2015B010110005)
摘 要:视频场景变动检测是监控视频智能分析的基础,光流法是常用方法之一,但现有方法容易由于前景目标的运动而误检。针对该问题,提出一种基于背景光流分析的视频场景变动检测方法。该方法首先将图像划分为背景和前景目标两部分,然后通过计算背景部分光流的像素占比以及分析其分布的均匀性来判断视频场景是否发生变动。实验结果表明,该方法简单实用,在实现对视频场景变动检测的同时能够避免前景运动目标导致的误检。Optical flow method is one of the commonly used methods for video scene change detection, which is the basis of intelligent analysis of surveillance video. However, the existing optical flow methods are easy to cause false detection due to the movement of foreground objects. Aiming at this problem,proposes a method of video scene change detectiou based on background optical flow analysis. Firstly, the image is divided into two parts: backgrotmd and foreground, and then the video scene change is judged by cah'ulatiug the proportion of the pixels with optical flows in the background and analyzing the distribution uniformity of the background optical flows. The experimental results show that the method is simple and practical, and it can detecl video scene change without false detection caused by the moving of foreground objects.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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