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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6951/1828
Uncontrolled Keywords:	haar-like feature, skin segmentation, hand detection, finger detection, Kalman Filter
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	10 Sep 2011 23:26
Last Modified:	07 Nov 2013 09:38
URI:	http://irep.iium.edu.my/id/eprint/1828

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