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Electronics 2016, 5(1), 10; doi:10.3390/electronics5010010

FPGA-Based Real-Time Motion Detection for Automated Video Surveillance Systems

1
CSIR—Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani 333031, Rajasthan, India
2
Electronic Science Department, Kurukshetra University, Kurukshetra 136119, Haryana, India
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Ignacio Bravo-Muñoz, Alfredo Gardel-Vicente and José L. Lázaro-Galilea
Received: 21 December 2015 / Revised: 23 February 2016 / Accepted: 4 March 2016 / Published: 11 March 2016
View Full-Text   |   Download PDF [5631 KB, uploaded 11 March 2016]   |  

Abstract

Design of automated video surveillance systems is one of the exigent missions in computer vision community because of their ability to automatically select frames of interest in incoming video streams based on motion detection. This research paper focuses on the real-time hardware implementation of a motion detection algorithm for such vision based automated surveillance systems. A dedicated VLSI architecture has been proposed and designed for clustering-based motion detection scheme. The working prototype of a complete standalone automated video surveillance system, including input camera interface, designed motion detection VLSI architecture, and output display interface, with real-time relevant motion detection capabilities, has been implemented on Xilinx ML510 (Virtex-5 FX130T) FPGA platform. The prototyped system robustly detects the relevant motion in real-time in live PAL (720 × 576) resolution video streams directly coming from the camera. View Full-Text
Keywords: motion detection; VLSI architecture; FPGA implementation; video surveillance System; smart camera system motion detection; VLSI architecture; FPGA implementation; video surveillance System; smart camera system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Singh, S.; Shekhar, C.; Vohra, A. FPGA-Based Real-Time Motion Detection for Automated Video Surveillance Systems. Electronics 2016, 5, 10.

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