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Modeling of human upper body for sign language recognition

Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini and Shafie, Amir Akramin and Salami, Momoh Jimoh Eyiomika (2011) Modeling of human upper body for sign language recognition. In: Proceedings of the 5th International Conference on Automation, Robotics and Applications, 6-8 Dec, 2011, Wellington, New Zealand.

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Sign Language Recognition systems require not only the hand motion trajectory to be classified but also facial features, Human Upper Body (HUB) and hand position with respect to other HUB parts. Head, face, forehead, shoulders and chest are very crucial parts that can carry a lot of positioning information of hand gestures in gesture classification. In this paper as the main contribution, a fast and robust search algorithm for HUB parts based on head size has been introduced for real time implementations. Scaling the extracted parts during body orientation was attained using partial estimation of face size. Tracking the extracted parts for front and side view was achieved using CAMSHIFT [24]. The outcome of the system makes it applicable for real-time applications such as Sign Languages Recognition (SLR) systems. Keywords: Human upper body detection

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6951/32510 (ISBN : 978-1-4577-0329-4, DOI: 10.1109/ICARA.2011.6144865)
Uncontrolled Keywords: Human upper body detection; Scaling; Tracking using CAMSHIFT; Sign Language Recognition
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Science
Depositing User: Sara Bilal
Date Deposited: 01 Nov 2013 14:22
Last Modified: 21 Jan 2015 18:29
URI: http://irep.iium.edu.my/id/eprint/32510

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