摘要
对智能视频监控中的遗留物检测技术进行研究,提出一种能够自动检测视频监控环境中的遗留物并发出警报的检测方案,给出详细的检测算法分析。该方案基于动态阈值的背景差分算法和背景更新算法,提高系统对于复杂场景的适应性,能够准确地检测出复杂背景中的箱、包等遗留物,并能够提供关键帧,便于找到遗留物的失主。实验结果表明了该方案的有效性。
A detection technology in intelligent video surveillance was researched .A method of automatically detecting abandoned objects and alerting in video surveillance environment was given , and also the detection algorithm was analysed in detail .By dy-namic threshold background subtraction algorithms and background updating algorithm , the adaptability of the system in complex scenes was improved .This method can accurately detect the abandoned objects in the complex background , such as box , bag and so on, and provide key frames .The effectiveness of this method was confirmed by experimental results .
出处
《计算机与现代化》
2014年第12期54-57,共4页
Computer and Modernization
基金
郑州市无线与移动通信网络应用技术科技创新团队项目(X2012GC1137)
关键词
遗留物检测
动态阈值
背景差分法
自适应
最大类间方差法
abandoned object detection
dynamic threshold
background subtraction method
adaptive
method of maximum classes square error
