We aim to develop a video surveillance system that detects and reports events of interest to users. Traditional way is to use RGB cameras to operate in constantly and evenly illuminated areas to detect simple events. The challenge is that visual characteristics of an unconstrained scene are unstable due to illumination variations. In this project, […]

This project aims to develop an intelligent surveillance system for automatic event detection. The proposed system will operate in an indoor environment to notify the user of events of interest in real-time. Most standard systems use visible-light cameras and basic change detection methods (e.g. Background subtraction) to recognize simple events such as intrusion. Instead, we […]