NDLI: Parallel Algorithm for Moving Foreground Detection in Dynamic Background

Content Provider	IEEE Xplore Digital Library
Author	Yi Yang Wenjie Chen
Copyright Year	2012
Abstract	Foreground detection in dynamic background has become a hot topic in video surveillance in recent years. in this paper we propose a new foreground detection approach based on GPU in dynamic background. with the proposed method, SIFT features are first extracted from two adjacent frames in video sequences, which can be utilized to compute the parameters of affine transform model and to solve global motion compensation. then improving background subtraction approach with dynamic background updating module is adopted to detect foreground objects. GPU method is used to improve application performance. Combined with CUDA, three mainly algorithm modules, which are so called Global Motion Compensation Module, Updating Background Module and Foreground Detection Module, are improved. in this paper, GPU and CPU are used as a combined computing unit, which makes good use of strong parallel computing ability. the effectiveness of the method has been proved. Finally, the contrasting experiments on processing time show that the proposed algorithm based on GPU is better in speed.
Starting Page	442
Ending Page	445
File Size	397941
Page Count	4
File Format	PDF
ISBN	9781467326469
DOI	10.1109/ISCID.2012.270
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	foreground detection affine transform Instruction sets Computational modeling Heuristic algorithms Dynamics Graphics processing units Parallel processing Motion compensation dynamic background GPU parallel computing
Content Type	Text
Resource Type	Article

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