Detection and Tracking the Criminal Activity using Network of CCTV cameras

In recent years, the number of troublesome people with provocative behaviour has been increased. This necessitates the need to increase the public security. CCTV cameras are gradually being deployed on streets, banks, and other areas to protect people’s safety in public areas like shopping malls. Since it is practically impossible to continuously monitor the security cameras, the crowd monitoring system must be computerized with high accuracy. Moreover, if a criminal is running, it is difficult to detect and track down by only using the capture CCTV image is a time-consuming process. To solve these challenges, the proposed system will scan real-time CCTV surveillance footage and use criminal reference information to identify the criminals. To recognize the uniqueness, it is highly required to precisely automate this activity. It is also necessary to show which frames and sections of the recording contain the unexpected behaviour.