An FPGA based embedded vision system for real-time motion detection

This paper proposes an efficient FPGA (Field Programmable Gate Array) based real time video processing platform for monocular object detection. Algorithms that depend on the background subtraction techniques were proposed on FPGA. Due to its paramount importance for background subtraction algorithms...

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Main Authors:	AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/48022/ http://irep.iium.edu.my/48022/ http://irep.iium.edu.my/48022/1/ID_117.pdf

id	iium-48022
recordtype	eprints
spelling	iium-480222016-01-22T07:02:54Z http://irep.iium.edu.my/48022/ An FPGA based embedded vision system for real-time motion detection AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw T Technology (General) This paper proposes an efficient FPGA (Field Programmable Gate Array) based real time video processing platform for monocular object detection. Algorithms that depend on the background subtraction techniques were proposed on FPGA. Due to its paramount importance for background subtraction algorithms to disregard unimportant movements such as camera jitter and tree branches, a multi model sigma delta algorithm was used. Furthermore, a Gaussian pyramid was utilized in the preprocessing state to reduce the frame size so as to reduce memory and time complexity. This results in a Gaussian Pyramid down sampling multi model sigma delta algorithm that gives low false detection error and good performance. The proposed algorithm was implemented on the FPGA with a 25 MHz crystal. The frame rate was found to be 190 frames per second. The system was able to process 10 pixels at one clock cycle to detect object by using only 643 logic blocks. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/48022/1/ID_117.pdf AlDahoul, Nouar and Htike@Muhammad Yusof, Zaw Zaw (2015) An FPGA based embedded vision system for real-time motion detection. In: International Conference on Advances Technology in Telecommunication, Broadcasting, and Satellite, 26-27 September, 2015, Jakarta, Indonesia. (In Press) http://telsatech.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw An FPGA based embedded vision system for real-time motion detection
description	This paper proposes an efficient FPGA (Field Programmable Gate Array) based real time video processing platform for monocular object detection. Algorithms that depend on the background subtraction techniques were proposed on FPGA. Due to its paramount importance for background subtraction algorithms to disregard unimportant movements such as camera jitter and tree branches, a multi model sigma delta algorithm was used. Furthermore, a Gaussian pyramid was utilized in the preprocessing state to reduce the frame size so as to reduce memory and time complexity. This results in a Gaussian Pyramid down sampling multi model sigma delta algorithm that gives low false detection error and good performance. The proposed algorithm was implemented on the FPGA with a 25 MHz crystal. The frame rate was found to be 190 frames per second. The system was able to process 10 pixels at one clock cycle to detect object by using only 643 logic blocks.
format	Conference or Workshop Item
author	AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw
author_facet	AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw
author_sort	AlDahoul, Nouar
title	An FPGA based embedded vision system for real-time motion detection
title_short	An FPGA based embedded vision system for real-time motion detection
title_full	An FPGA based embedded vision system for real-time motion detection
title_fullStr	An FPGA based embedded vision system for real-time motion detection
title_full_unstemmed	An FPGA based embedded vision system for real-time motion detection
title_sort	fpga based embedded vision system for real-time motion detection
publishDate	2015
url	http://irep.iium.edu.my/48022/ http://irep.iium.edu.my/48022/ http://irep.iium.edu.my/48022/1/ID_117.pdf
first_indexed	2023-09-18T21:08:14Z
last_indexed	2023-09-18T21:08:14Z
_version_	1777411077951193088

An FPGA based embedded vision system for real-time motion detection

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