A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking

Human hand posture detection and recognition is a challenging problem in computer vision. We introduce an algorithm that is capable to recognize hand posture in a sophisticated background. The system combines two algorithms to achieve better detection rate for hand. Recently Viola et al. in [10]ha...

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Main Authors:	Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin, Bouhabba, El Mehdi
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/1828/ http://irep.iium.edu.my/1828/ http://irep.iium.edu.my/1828/1/HAAR.pdf

id	iium-1828
recordtype	eprints
spelling	iium-18282013-11-07T01:38:28Z http://irep.iium.edu.my/1828/ A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin Bouhabba, El Mehdi T Technology (General) Human hand posture detection and recognition is a challenging problem in computer vision. We introduce an algorithm that is capable to recognize hand posture in a sophisticated background. The system combines two algorithms to achieve better detection rate for hand. Recently Viola et al. in [10]have introduced a rapid object detection scheme; we use this approach to detect the hand posture in the first set of consecutive frames. The chromatic color distribution of skin can be found within this cluster. As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. Kalman Filter is used to track the face and hand blobs based on their position. In the experiments, we have tested our system in various environments, and results showed effectiveness of the approach. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1828/1/HAAR.pdf Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini and Salami, Momoh Jimoh Eyiomika and Shafie, Amir Akramin and Bouhabba, El Mehdi (2010) A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking. In: International Conference on Mechatronics and Automation, 4-7 August, 2010, Xi'an, China. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5579871
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin Bouhabba, El Mehdi A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
description	Human hand posture detection and recognition is a challenging problem in computer vision. We introduce an algorithm that is capable to recognize hand posture in a sophisticated background. The system combines two algorithms to achieve better detection rate for hand. Recently Viola et al. in [10]have introduced a rapid object detection scheme; we use this approach to detect the hand posture in the first set of consecutive frames. The chromatic color distribution of skin can be found within this cluster. As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. Kalman Filter is used to track the face and hand blobs based on their position. In the experiments, we have tested our system in various environments, and results showed effectiveness of the approach.
format	Conference or Workshop Item
author	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin Bouhabba, El Mehdi
author_facet	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Eyiomika Shafie, Amir Akramin Bouhabba, El Mehdi
author_sort	Bilal, Sara Mohammed Osman Saleh
title	A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
title_short	A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
title_full	A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
title_fullStr	A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
title_full_unstemmed	A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
title_sort	hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
publishDate	2010
url	http://irep.iium.edu.my/1828/ http://irep.iium.edu.my/1828/ http://irep.iium.edu.my/1828/1/HAAR.pdf
first_indexed	2023-09-18T20:09:21Z
last_indexed	2023-09-18T20:09:21Z
_version_	1777407373435994112

A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking

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