Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result
International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
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Universiti Malaysia Perlis (UniMAP)
2012
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my.unimap-205552012-08-01T07:23:23Z Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result Wan Mohd Yaakob, Wan Bejuri Mohd Murtadha, Mohamad Maimunah, Sapri Mohd Adly, Rosly wanmohdyaakob@gmail.com maimunahsapri@utm.my Feature detection and matching Wireless local area network Access point International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. This paper present our new intensity chromaticity space-based feature detection and matching algorithm. This approach utilizes hybridization of wireless local area network and camera internal sensor which to receive signal strength from a access point and the same time retrieve interest point information from hallways. This information is combined by model fitting approach in order to find the absolute of user target position. No conventional searching algorithm is required, thus it is expected reducing the computational complexity. Finally we present pre-experimental results to illustrate the performance of the localization system for an indoor environment set-up. 2012-08-01T07:23:21Z 2012-08-01T07:23:21Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20555 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) Pusat Pengajian Kejuruteraan Mekatronik |
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Feature detection and matching Wireless local area network Access point |
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Feature detection and matching Wireless local area network Access point Wan Mohd Yaakob, Wan Bejuri Mohd Murtadha, Mohamad Maimunah, Sapri Mohd Adly, Rosly Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result |
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International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. |
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wanmohdyaakob@gmail.com |
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wanmohdyaakob@gmail.com Wan Mohd Yaakob, Wan Bejuri Mohd Murtadha, Mohamad Maimunah, Sapri Mohd Adly, Rosly |
format |
Working Paper |
author |
Wan Mohd Yaakob, Wan Bejuri Mohd Murtadha, Mohamad Maimunah, Sapri Mohd Adly, Rosly |
author_sort |
Wan Mohd Yaakob, Wan Bejuri |
title |
Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result |
title_short |
Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result |
title_full |
Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result |
title_fullStr |
Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result |
title_full_unstemmed |
Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result |
title_sort |
ubiquitous wlan/camera positioning using inverse intensity chromaticity space-based feature detection and matching: a preliminary result |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2012 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/20555 |
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1643793111983325184 |
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13.214268 |