Enhanced Gaussian background modeling algorithm and implementation in FPGA for real-time moving object detection in surveillance video
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Date
2014
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University of New Brunswick
Abstract
A real-time solution of moving object detection (MOD) in surveillance video was
explored in this work motivated by the practical ileed of real-time automated video
analysis system. The core element of a moving object detection process is its background
modeling algorithm in the content of surveillance and road monitoring applications. By
reviewing and analyzing previous works, single Gaussian (SG) background modeling
algorithm was selected and enhanced. Then a circuit that performs MOD with enhanced
SG algorithm was designed and implemented in a Virtex6 FPGA of a ML605 evaluation
board with other hardware components. The experiment results showed that the proposed
MOD system could perform real-time MOD in a video of 1280x720p@30fps. It
outperforms the software experiments/implementations and the state-of-art FPGA-based
implementations.