Real-Time Implementation of Change Detection for Automated Video Surveillance System | Zendy

Sanjay Singh | Zendy; Ankita Mandal | Zendy; Chandra Shekhar | Zendy; Anil Vohra | Zendy

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Real-Time Implementation of Change Detection for Automated Video Surveillance System

Author(s) -

Sanjay Singh,

Ankita Mandal,

Chandra Shekhar,

Anil Vohra

Publication year - 2013

Publication title -

isrn electronics

Language(s) - English

Resource type - Journals

ISSN - 2090-8679

DOI - 10.1155/2013/691930

Subject(s) - computer science , field programmable gate array , video processing , change detection , frame rate , real time computing , cluster analysis , virtex , frame (networking) , embedded system , artificial intelligence , telecommunications

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 real-time 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.

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