Human posture recognition : methodology and implementation

Htike, Kyaw Kyaw and Khalifa, Othman Omran and Lai, Weng Kin (2011) Human posture recognition : methodology and implementation. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 32-38. ISBN 978-967-418-156-7

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Abstract

Human Posture Recognition is a key component of many application-oriented computer vision systems, for instance in automated visual surveillance, automotive safety, computer interaction and multimedia processing. Human tracking is an important part at 3 automated video surveillance system. It is used to track any previously detected human to the mapping or prediction purpose or simply for behavioural analysis. High detection r and low false alarm rates are essential for achieving robustness in higher level vision tas such as tracking or activity recognition

Item Type:	Book Chapter
Additional Information:	4119/21628
Uncontrolled Keywords:	Human posture recognition, methodology, implementation
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 08:27
Last Modified:	04 Nov 2020 13:56
URI:	http://irep.iium.edu.my/id/eprint/21628

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