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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/20555

Title: Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result
Authors: Wan Mohd Yaakob, Wan Bejuri
Mohd Murtadha, Mohamad
Maimunah, Sapri
Mohd Adly, Rosly
E-mail: wanmohdyaakob@gmail.com
maimunahsapri@utm.my
Keywords: Feature detection and matching
Wireless local area network
Access point
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
Department: Pusat Pengajian Kejuruteraan Mekatronik
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: 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.
Description: 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.
URI: http://hdl.handle.net/123456789/20555
Appears in Collections:Conference Papers

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