Event Detection for a Visual Surveillance System Using Stereo Omni-directional System

In this paper, by using a stereo omni-directional system, we propose an automatic surveillance system for detecting the events in which a person enters or leaves a room and of an object appearing or disappearing. It is important for a video surveillance system to detect events automatically and offer effective information. A stereo omni-directional system captures all directional color and disparity images from an observation point simultaneously, in real-time. Using background and frame subtraction methods, our system detects the foreground pixels, analyzes them and estimates the status of human and object regions.