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

fYear

2015

fDate

12-14 Jan. 2015

Firstpage

145

Lastpage

147

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Networking (ICOIN), 2015 International Conference on

Conference_Location

Cambodia

Type

conf

DOI

10.1109/ICOIN.2015.7057872

Filename

7057872