Real-time hand detection by depth images: a survey

Human hand detection can enable human to communicate with a machine and interact without any external device. Human hands play an important role in different applications such as medical image processing, sign language translator, gesture recognition and augmented reality. A human hand has different...

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Main Authors:	Karbasi, Mostafa, Bhatti, Zeeshan, Aghababaeyan, Reza, Bilal, Sara, Rad, Abdolvahab Ehsani, Shah, Asadullah, Waqas, Ahmad
Format:	Article
Language:	English English English
Published:	2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/53571/ http://irep.iium.edu.my/53571/ http://irep.iium.edu.my/53571/ http://irep.iium.edu.my/53571/1/53571_Real-time%20hand%20detection%20by%20depth%20images.pdf http://irep.iium.edu.my/53571/2/53571_Real-time%20hand%20detection%20by%20depth%20images_SCOPUS.pdf http://irep.iium.edu.my/53571/3/53571_Real-time%20hand%20detection%20by%20depth%20images_WOS.pdf

id	iium-53571
recordtype	eprints
spelling	iium-535712017-04-12T06:39:32Z http://irep.iium.edu.my/53571/ Real-time hand detection by depth images: a survey Karbasi, Mostafa Bhatti, Zeeshan Aghababaeyan, Reza Bilal, Sara Rad, Abdolvahab Ehsani Shah, Asadullah Waqas, Ahmad QA75 Electronic computers. Computer science Human hand detection can enable human to communicate with a machine and interact without any external device. Human hands play an important role in different applications such as medical image processing, sign language translator, gesture recognition and augmented reality. A human hand has different length and breadth for male and female. So, it is a complex articulated object consisting many connected parts and joints. Traditional methods for hand detection and tracking used color and shape information from RGB camera. Using a depth camera for hand detection and tracking is a challenging and interesting domain in computer vision. Some research has shown that using depth data for hand detection can improve human computer interaction. Recently, researchers used depth data in different hand detection and tracking methods in real time application. This paper explains different types of methods which are used for human hand detection. Various techniques and methods are explored and analyzed in this survey to determine the shortfalls and future directions in the field of hand detection from depth data. 2016-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/53571/1/53571_Real-time%20hand%20detection%20by%20depth%20images.pdf application/pdf en http://irep.iium.edu.my/53571/2/53571_Real-time%20hand%20detection%20by%20depth%20images_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/53571/3/53571_Real-time%20hand%20detection%20by%20depth%20images_WOS.pdf Karbasi, Mostafa and Bhatti, Zeeshan and Aghababaeyan, Reza and Bilal, Sara and Rad, Abdolvahab Ehsani and Shah, Asadullah and Waqas, Ahmad (2016) Real-time hand detection by depth images: a survey. Jurnal Teknologi, 78 (2). pp. 141-148. E-ISSN 2180–3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/5292 10.11113/jt.v78.5292
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Karbasi, Mostafa Bhatti, Zeeshan Aghababaeyan, Reza Bilal, Sara Rad, Abdolvahab Ehsani Shah, Asadullah Waqas, Ahmad Real-time hand detection by depth images: a survey
description	Human hand detection can enable human to communicate with a machine and interact without any external device. Human hands play an important role in different applications such as medical image processing, sign language translator, gesture recognition and augmented reality. A human hand has different length and breadth for male and female. So, it is a complex articulated object consisting many connected parts and joints. Traditional methods for hand detection and tracking used color and shape information from RGB camera. Using a depth camera for hand detection and tracking is a challenging and interesting domain in computer vision. Some research has shown that using depth data for hand detection can improve human computer interaction. Recently, researchers used depth data in different hand detection and tracking methods in real time application. This paper explains different types of methods which are used for human hand detection. Various techniques and methods are explored and analyzed in this survey to determine the shortfalls and future directions in the field of hand detection from depth data.
format	Article
author	Karbasi, Mostafa Bhatti, Zeeshan Aghababaeyan, Reza Bilal, Sara Rad, Abdolvahab Ehsani Shah, Asadullah Waqas, Ahmad
author_facet	Karbasi, Mostafa Bhatti, Zeeshan Aghababaeyan, Reza Bilal, Sara Rad, Abdolvahab Ehsani Shah, Asadullah Waqas, Ahmad
author_sort	Karbasi, Mostafa
title	Real-time hand detection by depth images: a survey
title_short	Real-time hand detection by depth images: a survey
title_full	Real-time hand detection by depth images: a survey
title_fullStr	Real-time hand detection by depth images: a survey
title_full_unstemmed	Real-time hand detection by depth images: a survey
title_sort	real-time hand detection by depth images: a survey
publishDate	2016
url	http://irep.iium.edu.my/53571/ http://irep.iium.edu.my/53571/ http://irep.iium.edu.my/53571/ http://irep.iium.edu.my/53571/1/53571_Real-time%20hand%20detection%20by%20depth%20images.pdf http://irep.iium.edu.my/53571/2/53571_Real-time%20hand%20detection%20by%20depth%20images_SCOPUS.pdf http://irep.iium.edu.my/53571/3/53571_Real-time%20hand%20detection%20by%20depth%20images_WOS.pdf
first_indexed	2023-09-18T21:15:46Z
last_indexed	2023-09-18T21:15:46Z
_version_	1777411551456657408

Real-time hand detection by depth images: a survey

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