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...
| Main Authors: | , , , |
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| Format: | Book Chapter |
| Language: | English |
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IIUM Press
2011
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| Online Access: | http://irep.iium.edu.my/21624/ http://irep.iium.edu.my/21624/1/Chapter_1.pdf |
| _version_ | 1848778851356770304 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:08:27Z |
| format | Book Chapter |
| id | iium-21624 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:08:27Z |
| publishDate | 2011 |
| publisher | IIUM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 |
| 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 |
| title | 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_short | Human posture recognition : an overview |
| title_sort | human posture recognition : an overview |
| topic | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/21624/ http://irep.iium.edu.my/21624/ http://irep.iium.edu.my/21624/1/Chapter_1.pdf |