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FPGA Implementation of Gaussian Mixture Model Algorithm for 47 fps Segmentation of 1080p Video
Joint Authors
Strollo, Antonio G. M.
De Caro, Davide
Genovese, Mariangela
Petra, Nicola
Napoli, Ettore
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Circuits and systems able to process high quality video in real time are fundamental in nowadays imaging systems.
The circuit proposed in the paper, aimed at the robust identification of the background in video streams, implements the improved formulation of the Gaussian Mixture Model (GMM) algorithm that is included in the OpenCV library.
An innovative, hardware oriented, formulation of the GMM equations, the use of truncated binary multipliers, and ROM compression techniques allow reduced hardware complexity and increased processing capability.
The proposed circuit has been designed having commercial FPGA devices as target and provides speed and logic resources occupation that overcome previously proposed implementations.
The circuit, when implemented on Virtex6 or StratixIV, processes more than 45 frame per second in 1080p format and uses few percent of FPGA logic resources.
American Psychological Association (APA)
Genovese, Mariangela& Napoli, Ettore& De Caro, Davide& Petra, Nicola& Strollo, Antonio G. M.. 2013. FPGA Implementation of Gaussian Mixture Model Algorithm for 47 fps Segmentation of 1080p Video. Journal of Electrical and Computer Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-448010
Modern Language Association (MLA)
Genovese, Mariangela…[et al.]. FPGA Implementation of Gaussian Mixture Model Algorithm for 47 fps Segmentation of 1080p Video. Journal of Electrical and Computer Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-448010
American Medical Association (AMA)
Genovese, Mariangela& Napoli, Ettore& De Caro, Davide& Petra, Nicola& Strollo, Antonio G. M.. FPGA Implementation of Gaussian Mixture Model Algorithm for 47 fps Segmentation of 1080p Video. Journal of Electrical and Computer Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-448010
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448010