Review of Video Analytics Method for Video Surveillance

To alleviate increase rate of crime, security personnel, IP camera, CCTV (Closed-Circuit Television) is traditionally employed. But human vigilance leads to errors. Hence, automated video surveillance and analytics are implemented to minimize these errors. Human behaviour recognition algorithms can be used reactively to prevent issues or proactively for post-incident inquiry. There is increasing demand in automated video surveillance, which involves face detection, object detection, license plate detection. This study provides the most recent state-of-the-art image processing algorithms for automatic behaviour detection approaches, with an emphasis on human activity monitoring.