Comprehensive Review for Video Surveillance Based Suspicious Human Activity Detection
Lucky Rajpoot, Rosy Madaan · 2024
The detection of potentially illicit behaviors from recorded video footage is an emerging field of study in the domain of image processing and computer vision. Detecting suspicious activities is essential for maintaining the security of both businesses and communities. Surveillance cameras are primarily utilized in public areas to monitor and guarantee security. To provide continuous monitoring of public spaces, it is crucial to utilize intelligent video surveillance systems capable of properly detecting and classifying human actions in real-time as either benign or potentially threatening. This study presents a state-of-the-art review that highlights the general progress made in the last several years in spotting suspicious behaviors from surveillance recordings. article briefly summarize the problems and challenges related to identifying questionable human behaviors. This article aims to provide researchers in this subject with an overview of the literature on a number of suspicious activity recognition systems, including an overview of their general architecture.