Human posture recognition : an overview

Computer vision, which is a component of the field of artificial intelligence [1], is t~e study of methods and algorithms that enables machines and computers to "see" and "understand" images or multidimensional data [2]. In this context, the term, "understand", means th...

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Main Authors: Khalifa, Othman Omran, Htike, Kyaw Kyaw, Hassan Abdalla Hashim, Aisha, Lai, Weng Kin
Format: Book Chapter
Language:English
Published: IIUM Press 2011
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Online Access:http://irep.iium.edu.my/21624/1/Chapter_1.pdf
http://irep.iium.edu.my/21624/
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.216242020-06-25T07:28:37Z http://irep.iium.edu.my/21624/ Human posture recognition : an overview Khalifa, Othman Omran Htike, Kyaw Kyaw Hassan Abdalla Hashim, Aisha Lai, Weng Kin TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Computer vision, which is a component of the field of artificial intelligence [1], is t~e study of methods and algorithms that enables machines and computers to "see" and "understand" images or multidimensional data [2]. In this context, the term, "understand", means that some information is being extracted from the image or video data for a particular purpose. The image or video data that is fed into a computer vision system is often a color or grayscale image [3] (obtained from a digital camera) but can also be stereo image (from a stereo camera) [4], video sequence (from a video camera) [5] or a 3D volume (from a tomography device). As a scientific discipline, computer vision aims to implement the theories of computer vision to the modeling of computer vision systems. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21624/1/Chapter_1.pdf Khalifa, Othman Omran and Htike, Kyaw Kyaw and Hassan Abdalla Hashim, Aisha and Lai, Weng Kin (2011) Human posture recognition : an overview. In: Human BehaviourRrecognition,Iidentification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 1-6. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Khalifa, Othman Omran
Htike, Kyaw Kyaw
Hassan Abdalla Hashim, Aisha
Lai, Weng Kin
Human posture recognition : an overview
description Computer vision, which is a component of the field of artificial intelligence [1], is t~e study of methods and algorithms that enables machines and computers to "see" and "understand" images or multidimensional data [2]. In this context, the term, "understand", means that some information is being extracted from the image or video data for a particular purpose. The image or video data that is fed into a computer vision system is often a color or grayscale image [3] (obtained from a digital camera) but can also be stereo image (from a stereo camera) [4], video sequence (from a video camera) [5] or a 3D volume (from a tomography device). As a scientific discipline, computer vision aims to implement the theories of computer vision to the modeling of computer vision systems.
format Book Chapter
author Khalifa, Othman Omran
Htike, Kyaw Kyaw
Hassan Abdalla Hashim, Aisha
Lai, Weng Kin
author_facet Khalifa, Othman Omran
Htike, Kyaw Kyaw
Hassan Abdalla Hashim, Aisha
Lai, Weng Kin
author_sort Khalifa, Othman Omran
title Human posture recognition : an overview
title_short Human posture recognition : an overview
title_full Human posture recognition : an overview
title_fullStr Human posture recognition : an overview
title_full_unstemmed Human posture recognition : an overview
title_sort human posture recognition : an overview
publisher IIUM Press
publishDate 2011
url http://irep.iium.edu.my/21624/1/Chapter_1.pdf
http://irep.iium.edu.my/21624/
http://rms.research.iium.edu.my/bookstore/default.aspx
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