Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array

Protecting children from violence is one of the top priorities in all societies. Despite the increasing number of reported abuse cases, no previous efforts have been made to detect and recognise physical abuses against children using vision-based system. Hence, it is substantial to have a promising...

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Main Author:	Alhammami, Muhammad
Format:	Thesis
Published:	2018
Subjects:	TK7800-8360 Electronics
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id	my-mmu-ep.7187
record_format	uketd_dc
spelling	my-mmu-ep.71872018-07-13T16:42:52Z Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array 2018-01 Alhammami, Muhammad TK7800-8360 Electronics Protecting children from violence is one of the top priorities in all societies. Despite the increasing number of reported abuse cases, no previous efforts have been made to detect and recognise physical abuses against children using vision-based system. Hence, it is substantial to have a promising solution to detect and recognise such actions in real-time with high accuracy so it would help in rescuing the victim child in shortest possible time. Depth sensors and Field Programmable Gate Array (FPGA) devices are highly promising tools in implementing the vision-based human action recognition systems. While depth sensors simplify pre-processing functions, FPGA devices accelerate features computation and classification functions. Thus, this thesis proposes to utilise a depth sensor (Microsoft Kinect) and FPGA-based device to form the basis of the vision-based child abuse recognition system. 2018-01 Thesis http://shdl.mmu.edu.my/7187/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Alhammami, Muhammad Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array
description	Protecting children from violence is one of the top priorities in all societies. Despite the increasing number of reported abuse cases, no previous efforts have been made to detect and recognise physical abuses against children using vision-based system. Hence, it is substantial to have a promising solution to detect and recognise such actions in real-time with high accuracy so it would help in rescuing the victim child in shortest possible time. Depth sensors and Field Programmable Gate Array (FPGA) devices are highly promising tools in implementing the vision-based human action recognition systems. While depth sensors simplify pre-processing functions, FPGA devices accelerate features computation and classification functions. Thus, this thesis proposes to utilise a depth sensor (Microsoft Kinect) and FPGA-based device to form the basis of the vision-based child abuse recognition system.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Alhammami, Muhammad
author_facet	Alhammami, Muhammad
author_sort	Alhammami, Muhammad
title	Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array
title_short	Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array
title_full	Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array
title_fullStr	Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array
title_full_unstemmed	Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array
title_sort	vision-based system for child abuse action recognition using field programmable gate array
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2018
_version_	1747829663121539072

Vision-Based System For Child Abuse Action Recognition Using Field Programmable Gate Array

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