监控视频高效智能检索研究

Research on efficient and intelligent retrieval of surveillance video

随着监控设备和计算机视觉相关技术的逐步成熟,监控视频被广泛应用于安全防范、交通管理和刑事侦查等多个领域,如何准确高效地利用监控视频检索成为一个难题。文章在对基于语义的监控视频检索系统、基于对象的监控视频检索系统、基于颜色的监控视频检索系统以及基于深度卷积神经网络的视频检索的优势和局限性进行比较和研究后,对智能监控视频检索的未来发展趋势进行了展望。

With the maturity of monitoring equipment and computer vision related technologies,surveillance video has been widely used in many fields such as security prevention,traffic management and criminal investigation.How to process the surveillance video retrieval accurately and efficiently becomes a problem.After comparing and studying the advantages and limitations of semantic based surveillance video retrieval system,object based surveillance video retrieval system,color based surveillance video retrieval system,and deep convolutional neural network based video retrieval system,this paper gives an outlook on the future development trend of intelligent surveillance video retrieval.