Real-time hand detection by depth images: a survey

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6566/53571
Uncontrolled Keywords:	HCI Application, Depth Camera, Hand Detection, Depth Data, Depth Images
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Fardous Mohamed Ali Eljadi
Date Deposited:	27 Dec 2016 15:33
Last Modified:	12 Apr 2017 14:39
URI:	http://irep.iium.edu.my/id/eprint/53571

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