Title :
Features extraction of fluorescent light image for positioning information acquisition using steerable Gaussian filter
Author :
Jun-Woo Kim ; Soon-Ho Jung ; Min-Woo Lee ; Ju-Phil Cho ; Jae-Sang Cha
Author_Institution :
Grad. Sch. of NID Fusion Technol., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea
Abstract :
Indoor positioning technology has been a goal of ubiquitous computing research. In this paper, we show the feasibility of detecting fluorescent light based on the camera images received from a smart phone. We present a robust and real time approach to fluorescent light detection in indoor environments. It is based on taking a ceiling image by Smartphone image sensor, filtering using selective oriented Gaussian filters. Our algorithm can detect all fluorescent light in still images of indoor environments in various conditions.
Keywords :
Gaussian processes; feature extraction; filtering theory; image sensors; smart phones; ubiquitous computing; features extraction; fluorescent light image; indoor positioning technology; positioning information acquisition; selective oriented Gaussian filters; smart phone; smartphone image sensor; steerable Gaussian filter; ubiquitous computing research; Cameras; Educational institutions; Feature extraction; Fluorescent lamps; Indoor environments; Information filtering; Kernel; Features Extraction; Fluorescent Light; Steerable Gaussian Filter;
Conference_Titel :
Information Networking (ICOIN), 2015 International Conference on
Conference_Location :
Cambodia
DOI :
10.1109/ICOIN.2015.7057872
