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

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dc.contributor.authorBilal, S.
dc.contributor.authorAkmeliawati, Rini
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorShafie, Amir A.
dc.contributor.authorBouhabba, El Mehdi
dc.date.accessioned2019-10-24T10:37:45Z
dc.date.available2019-10-24T10:37:45Z
dc.date.issued2010-08-04
dc.description.abstractHuman 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 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.en_US
dc.identifier.citationBilal, S., Akmeliawati, R., El Salami, M. J., Shafie, A. A., & Bouhabba, E. M. (2010, August). A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking. In 2010 IEEE International Conference on Mechatronics and Automation (pp. 934-939). IEEE.en_US
dc.identifier.uri10.1109/ICMA.2010.5588576
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/594
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectSkinen_US
dc.subjectFingersen_US
dc.subjectImage color analysisen_US
dc.subjectFeature extractionen_US
dc.subjectPixelen_US
dc.subjectFaceen_US
dc.subjectKalman filtersen_US
dc.titleA hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and trackingen_US
dc.title.alternative/8/4en_US
dc.typeArticleen_US
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