Real-time implementation of visual based fall detection in Field Programmable Gate Array

Falling has been one of the major concerns and threats to the elderly in their daily lives. With the worldwide significant growth of the aging population, it is essential to have a promising solution of fall detection，which is able to operate at high accuracy in real-time and supports large scale im...

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Main Author:	Ong, Peng Shen
Format:	Thesis
Published:	2014
Subjects:	TK7885-7895 Computer engineering Computer hardware
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id	my-mmu-ep.6264
record_format	uketd_dc
spelling	my-mmu-ep.62642016-01-12T04:59:12Z Real-time implementation of visual based fall detection in Field Programmable Gate Array 2014-07 Ong, Peng Shen TK7885-7895 Computer engineering. Computer hardware Falling has been one of the major concerns and threats to the elderly in their daily lives. With the worldwide significant growth of the aging population, it is essential to have a promising solution of fall detection，which is able to operate at high accuracy in real-time and supports large scale implementation using multiple cameras. Field Programmable Gate Array (FPGA) is a highly promising tool to be used as a hardware accelerator in many emerging embedded vision based systems due to its high performance and lower power consumption in comparison with general-purpose processor. It is thus the main objective of this thesis to present an FPGA-based solution of visual based fall detection to meet stringent real-time requirements. Our solution implemented in low-cost FPGA is able to achieve a performance of 58.36fps at VGA resolutions (640x480) by leveraging on pixel locality and the pipeline architecture of the FPGA. 2014-07 Thesis http://shdl.mmu.edu.my/6264/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK7885-7895 Computer engineering Computer hardware
spellingShingle	TK7885-7895 Computer engineering Computer hardware Ong, Peng Shen Real-time implementation of visual based fall detection in Field Programmable Gate Array
description	Falling has been one of the major concerns and threats to the elderly in their daily lives. With the worldwide significant growth of the aging population, it is essential to have a promising solution of fall detection，which is able to operate at high accuracy in real-time and supports large scale implementation using multiple cameras. Field Programmable Gate Array (FPGA) is a highly promising tool to be used as a hardware accelerator in many emerging embedded vision based systems due to its high performance and lower power consumption in comparison with general-purpose processor. It is thus the main objective of this thesis to present an FPGA-based solution of visual based fall detection to meet stringent real-time requirements. Our solution implemented in low-cost FPGA is able to achieve a performance of 58.36fps at VGA resolutions (640x480) by leveraging on pixel locality and the pipeline architecture of the FPGA.
format	Thesis
qualification_level	Master's degree
author	Ong, Peng Shen
author_facet	Ong, Peng Shen
author_sort	Ong, Peng Shen
title	Real-time implementation of visual based fall detection in Field Programmable Gate Array
title_short	Real-time implementation of visual based fall detection in Field Programmable Gate Array
title_full	Real-time implementation of visual based fall detection in Field Programmable Gate Array
title_fullStr	Real-time implementation of visual based fall detection in Field Programmable Gate Array
title_full_unstemmed	Real-time implementation of visual based fall detection in Field Programmable Gate Array
title_sort	real-time implementation of visual based fall detection in field programmable gate array
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2014
_version_	1747829616300523520

Real-time implementation of visual based fall detection in Field Programmable Gate Array

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