Theft Detection in CCTV – A Review

Closed-Circuit Television (CCTV) surveillance is common in public places in many countries. The availability of CCTV footage has resulted in significant changes in policing and legal systems. While locating a person of interest is important for public safety, it is also a task of high visual complexity that necessitates sustained attention, good identity detection and recognition skills, and other cognitive resources. Also, because there is limited time and resources to take corrective action, the scale of wrongdoing is growing exponentially. It has become critical to reduce the amount of time required to identify the offender. The primary goal of our project is to expedite the process of identifying an offender from CCTV footage or other sources. The purpose of the project is to alleviate menial tasks, improve the efficiency of the identification process, and streamline the process. Metadata is used to boost the performance of identification systems. Since According to several police officers, when a crime occurs, whether it is a theft or a murder, investigators obtain CCTV footage from nearby cameras and analyse the chronology of the incident in order to identify and trace the accused persons. As a group, our aim is to create an algorithm based project employing a variety of other components to accomplish our objective to reduce the tedious work of manually watching and spending the countless hours identifying a person from the acquired footage. We’ll make sure that we complete this project by the set date and break it down into more simpler modules to make it more viable as it will be a learning curve for us as we’ll be exposed to unhackneyed concepts for us and expand our learning horizon.