Remote Based Intelligent Video Surveillance System
The surveillance detection related events from video input is a sophisticated technology in real time security related applications. Many current and Existing solutions to this problem are simply slight variations on frame differencing concept. This proves to be difficult to configure and operate effectively. This proposed system presents a new approach to this problem based on extracting and classifying the background contents of each video frame using a CAM equipped with a standard frame-grabber. The action of objects classified as people is further categorized into a series of events such as person leaving, entering, deposits object, and so forth.