Dynamic approach for real-time skin detection

Human face and hand detection, recognition and tracking are important research areas for many computer interaction applications. Face and hand are considered as human skin blobs, which fall in a compact region of colour spaces. Limitations arise from the fact that human skin has common properti...

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Main Authors:	Bilal, Sara, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin
Format:	Article
Language:	English
Published:	Springer-Verlag 2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/2/10.1007_s11554-012-0305-2.pdf

id	iium-27841
recordtype	eprints
spelling	iium-278412013-02-13T23:47:13Z http://irep.iium.edu.my/27841/ Dynamic approach for real-time skin detection Bilal, Sara Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin TK Electrical engineering. Electronics Nuclear engineering Human face and hand detection, recognition and tracking are important research areas for many computer interaction applications. Face and hand are considered as human skin blobs, which fall in a compact region of colour spaces. Limitations arise from the fact that human skin has common properties and can be defined in various colour spaces after applying colour normalization. The model therefore, has to accept a wide range of colours, making it more susceptible to noise. We have addressed this problem and propose that the skin colour could be defined separately for every person. This is expected to reduce the errors. To detect human skin colour pixels and to decrease the number of false alarms, a prior face or hand detection model has been developed using Haar-like and AdaBoost technique. To decrease the cost of computational time, a fast search algorithm for skin detection is proposed. The level of performance reached in terms of detection accuracy and processing time allows this approach to be an adequate choice for real-time skin blob tracking. Springer-Verlag 2012-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/27841/2/10.1007_s11554-012-0305-2.pdf Bilal, Sara and Akmeliawati, Rini and Salami, Momoh Jimoh Eyiomika and Shafie, Amir Akramin (2012) Dynamic approach for real-time skin detection. Journal of Real-Time Image Processing. ISSN 1861-8200 (Print) 1861-8219 (Online) (In Press) http://dx.doi.org/10.1007/s11554-012-0305-2 10.1007/s11554-012-0305-2
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Bilal, Sara Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin Dynamic approach for real-time skin detection
description	Human face and hand detection, recognition and tracking are important research areas for many computer interaction applications. Face and hand are considered as human skin blobs, which fall in a compact region of colour spaces. Limitations arise from the fact that human skin has common properties and can be defined in various colour spaces after applying colour normalization. The model therefore, has to accept a wide range of colours, making it more susceptible to noise. We have addressed this problem and propose that the skin colour could be defined separately for every person. This is expected to reduce the errors. To detect human skin colour pixels and to decrease the number of false alarms, a prior face or hand detection model has been developed using Haar-like and AdaBoost technique. To decrease the cost of computational time, a fast search algorithm for skin detection is proposed. The level of performance reached in terms of detection accuracy and processing time allows this approach to be an adequate choice for real-time skin blob tracking.
format	Article
author	Bilal, Sara Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin
author_facet	Bilal, Sara Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin
author_sort	Bilal, Sara
title	Dynamic approach for real-time skin detection
title_short	Dynamic approach for real-time skin detection
title_full	Dynamic approach for real-time skin detection
title_fullStr	Dynamic approach for real-time skin detection
title_full_unstemmed	Dynamic approach for real-time skin detection
title_sort	dynamic approach for real-time skin detection
publisher	Springer-Verlag
publishDate	2012
url	http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/2/10.1007_s11554-012-0305-2.pdf
first_indexed	2023-09-18T20:41:15Z
last_indexed	2023-09-18T20:41:15Z
_version_	1777409380238491648

Dynamic approach for real-time skin detection

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