A study on intelligent security camera system based on sequential motion recognition by using deep learning

Abstract

In this paper, we propose a new intelligent security camera system, that is named COMDES, for automated detection of snatching incidents on streets during the night by using LSTM network. Although over a half of all snatching incidents occur at night, this has not been considered in past studies. Thus, we have proposed an intelligent security camera system using a deep neural network and snapshot of a video frame to detect snatching incidents in the night by our previous paper. The COMDES can perform more efficient detection of snatching than our previous paper, by using sequential frames observed in the criminal scene and LSTM. It can classifies the situations into criminal or noncriminal scenes precisely. The experimental results show that the system, COMDES, can effectively detect snatching incidents with an accuracy of 98.89%.