Human posture recognition classifiers

Htike, Kyaw Kyaw and Khalifa, Othman Omran and Lai, Weng Kin and Islam, Md. Rafiqul (2011) Human posture recognition classifiers. In: Human Behaviour Recognition,Iidentification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 22-31. ISBN 978-967-418-156-7

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Abstract

Human activities recognition is becoming a field of great interest and relevance to a number of areas of research and applications The availability of a system capable of automatIcally classifying the physical activity performed by a human subject is extremely attractive for many applications such as in surveillance and security systems, choreography, sports, virtual reality, human-computer interaction, content-based image and video retrieval, automanc scene understanding and other vision-based interfaces. In particular, there has been incredible growth in the volume of computer vision research geared at understanding human actions and behaviors. These advances range from classification of basic low-level activities such as recognizing someone walking or sitting, to the higher level task of recognizing an interpreting the global behavior of several interacting people

Item Type:	Book Chapter
Additional Information:	4119/21627
Uncontrolled Keywords:	Human posture recognition, classifiers
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
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	07 Sep 2012 08:20
Last Modified:	04 Nov 2020 13:59
URI:	http://irep.iium.edu.my/id/eprint/21627

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