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Paper Abstract and Keywords
Presentation 2017-12-15 14:55
LED array detection method using SVM for ITS image sensor visible light communication
Masahiro Hori, Masayuki Kinoshita, Takaya Yamazato, Hiraku Okada, Toshiaki Fujii (Nagoya Univ.), Koji Kamakura (Chiba Inst. of Tech.), Tomohiro Yendo (Nagaoka Univ. of Sci.), Shintaro Arai (Okayama Univ. of Sci.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we focus on an image sensor visible light communication (VLC) for Intelligent Transport System (ITS). In this system, a transmitter is an LED array, and a receiver is a high-speed camera. To receive VLC signals, it is necessary to specify the position of the LED array transmitter from captured images. Previous studies showed that the LED array has a high temporal gradient value and a low spatial gradient value, and proposed an LED array detection method using these features. However, the method has difficulty to distinguish between information-contained LED array transmitter and an artificial light source without information. Also, since the number of pixels corresponding to the non-LED array is much larger than that of the LED array, such data imbalance should be considered. Therefore, in this paper, to detect LED array more accurately, we performed undersampling based on the k-means method. Then, we propose an LED array detection method using SVM model from these data.
Keyword (in Japanese) (See Japanese page) 
(in English) Visible light communication / Image sensor communication / Image processing / Machine learning / Object detection / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 347, ITS2017-56, pp. 251-255, Dec. 2017.
Paper # ITS2017-56 
Date of Issue 2017-12-07 (WBS, ITS, RCC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee ITS WBS RCC  
Conference Date 2017-12-14 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Tiruru/Okinawa Jichikaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Communications, Reliable Communication and Control, Rader and Sensing, etc. 
Paper Information
Registration To ITS 
Conference Code 2017-12-ITS-WBS-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) LED array detection method using SVM for ITS image sensor visible light communication 
Sub Title (in English)  
Keyword(1) Visible light communication  
Keyword(2) Image sensor communication  
Keyword(3) Image processing  
Keyword(4) Machine learning  
Keyword(5) Object detection  
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1st Author's Name Masahiro Hori  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Masayuki Kinoshita  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takaya Yamazato  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Hiraku Okada  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Toshiaki Fujii  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Koji Kamakura  
6th Author's Affiliation Chiba Institute of Technology (Chiba Inst. of Tech.)
7th Author's Name Tomohiro Yendo  
7th Author's Affiliation Nagaoka University of Science (Nagaoka Univ. of Sci.)
8th Author's Name Shintaro Arai  
8th Author's Affiliation Okayama University of Science (Okayama Univ. of Sci.)
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Speaker 1 
Date Time 2017-12-15 14:55:00 
Presentation Time 25 
Registration for ITS 
Paper # IEICE-WBS2017-79,IEICE-ITS2017-56,IEICE-RCC2017-95 
Volume (vol) IEICE-117 
Number (no) no.346(WBS), no.347(ITS), no.348(RCC) 
Page pp.251-255 
#Pages IEICE-5 
Date of Issue IEICE-WBS-2017-12-07,IEICE-ITS-2017-12-07,IEICE-RCC-2017-12-07 

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