Human Violence Detection using Machine Learning Techniques

Abstract

Abstract: Over 7.9 deaths per 10,000 persons worldwide occur as a result of human violence annually on average. Most of this human violence happens abruptly or in a remote location. Stopping these crimes is severely hampered by the information delay in this case. This work employs the detection technique to address this issue. One of the most efficient computer vision algorithms is the one for moving object detection from CCTV. These days, every street has CCTV cameras, which are highly useful for solving crimes. Computer vision uses some deep learning approaches to anticipate and identify actions and attributes in videos. Police arrive at violent locations in real time and begin checking CCTV video before doing additional investigation. The purpose of this study is to identify violent