Change detection is one of the several important problems in the design of any automated video surveillance system. Appropriate selection of frames of significant changes can minimize the communication and processing overheads for such systems. This research presents the design of a VLSI architecture for change detection in a video sequence and its implementation on Virtex-IIPro FPGA platform. Clustering-based scheme is used for change detection. The proposed system is designed to meet the realtime requirements of video surveillance applications. It robustly detects the changes in a video stream in real time at 25 frames per second (fps) in gray scale CIF size video.
In REF , the problem of change detection in the design of automated video surveillance system is addressed; appropriate selection of frames of significant changes can minimize the communication and processing overheads for such systems.
Real-Time Implementation of Change Detection for Automated Video Surveillance System
International Scholarly Research Notices
Computer Science