Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2012-04-10
Computer Science
Computer Vision and Pattern Recognition
International Conference on Man-Machine Systems 2012 (ICOMMS 2012)
Scientific paper
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.
Mohamad Mohd Murtadha
Rosly Mohd Adly
Sapri Maimunah
Wan Bejuri Wan Mohd Yaakob
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