A NOVEL APPROACH TO DETECTING ABNORMAL EVENTS IN FOOTPATHS VIA DEEP LEARNING

Abstract

Because it may pick up on any form of odd movement, a video surveillance system is an important part of the surveillance industry. We have utilized and analyzed the patterns of the unexpected or abnormal motions captured by the security cameras. Afterwards, the patterns that don't fit the norm are employed for capture. Bikers, skateboarders, little carts on pedestrian walkways, etc. are just a few of the ways they appear in film sequences. The primary objective of this research is to design and implement a Video Anomaly Detection (VAD) system that can effectively analyze films for anomalous movements by using deep learning and image processing methods.