Khalifa, Othman Omran and Awang, Mat Kamil and Hassan Abdalla Hashim, Aisha (2011) Human motion detection and classification. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 154-162. ISBN 978-967-418-156-7
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Abstract
Human Motion Detection is one of the most challenging problems in computer vision due to the huge quantity of possible cases. The number of postures depends on the degree of freedom of the human body (i.e. the articulations such as shoulders or knees). Moreover, the morphology of the person (height, corpulence, etc) influences the perception of the posture.vFurthermore, clothes can also give different types of appearances for the same posture
Item Type: | Book Chapter |
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Additional Information: | 4119/21652 |
Uncontrolled Keywords: | Human motion detection, classification |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering |
Depositing User: | Prof. Dr Othman O. Khalifa |
Date Deposited: | 04 Sep 2012 16:47 |
Last Modified: | 10 Jun 2020 14:30 |
URI: | http://irep.iium.edu.my/id/eprint/21652 |
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