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In this paper, we propose a new intelligent security camera system, which is named COMDES, for automated detection of snatching incidents on streets during the night by using long short‐term memory (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 classify 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%. [ABSTRACT FROM AUTHOR]

This paper describes the development of three‐dimensional (3D) human recognition system of flying drone system for emergency rescue and investigation. In this system, deep neural network and its application for 3D object recognition are key techniques for human detection from a free viewpoint. Some appearance based characteristics are captured as movie frames, and the system uses deep neural networks to automatically classify concerned object. The proposed system performs well that many kinds of views of personnel can be recognized from bird's eye view. Experimental results show that the system can effectively recognize human objects with high accuracy. [ABSTRACT FROM AUTHOR]