Research on efficient and intelligent retrieval of surveillance video
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.