基于粒子滤波算法的智能视频监控系统的设计与实现

Design and Implementation of Intelligent Video Surveillance System Based onParticle Filter Algorithm

摄像头监控系统已经遍布社会的各个角落,每天都会产生海量的视频,如何快速找到有用的片段变得尤为重要。为了帮助监控人员更方便地过滤掉无用的图像信息,笔者提出一种基于粒子滤波追踪算法的智能视频监控系统。该系统能够对目标进行追踪,自动识别目标的方向,并可以截取目标出现的踪迹视频,同时过滤无目标的视频片段。

Camera monitoring systems have spread all over the society,and massive amounts of video are generated every day.How to quickly find useful clips becomes particularly important.In order to help monitors filter out useless image information more conveniently,the author proposes an intelligent video surveillance system based on particle filter tracking algorithm.The system can track the target,automatically recognize the direction of the target,and can intercept the trace video of the target,and filter out the targetless video clips at the same time.