A Proposed Architecture to Suspect and Trace Criminal Activity Using Surveillance Cameras
Sheikh Tanjila Naurin, Antora Saha, Khadija Akter, Sabbir Ahmed · 2020 IEEE Region 10 Symposium (TENSYMP) · 2020
In these recent innovative advances give the chance to utilize a lot of sight information from video content. Hence, this process can be applied to the recognition and the need to guarantee a short reaction time to detect potential crime and follow the character. In this paper, we try to present an architecture and workflow that empowers multi-modular information accumulation and computerizes the discovery of crime-related activities. We have used the existing surveillance camera set up for the observation of criminal activity and follow the personality. The proposed system will suspects the crime activities in run time from the real-world data.