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Sensors 2016, 16(7), 1027; doi:10.3390/s16071027

LEA Detection and Tracking Method for Color-Independent Visual-MIMO

Department of Electronic Engineering, Kookmin University, Seongbuk-gu, Seoul 136-702, Korea
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Author to whom correspondence should be addressed.
Academic Editors: Thomas Litte, Takaya Yamazato and Yu Zeng
Received: 28 February 2016 / Revised: 6 June 2016 / Accepted: 27 June 2016 / Published: 2 July 2016
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Abstract

Communication performance in the color-independent visual-multiple input multiple output (visual-MIMO) technique is deteriorated by light emitting array (LEA) detection and tracking errors in the received image because the image sensor included in the camera must be used as the receiver in the visual-MIMO system. In this paper, in order to improve detection reliability, we first set up the color-space-based region of interest (ROI) in which an LEA is likely to be placed, and then use the Harris corner detection method. Next, we use Kalman filtering for robust tracking by predicting the most probable location of the LEA when the relative position between the camera and the LEA varies. In the last step of our proposed method, the perspective projection is used to correct the distorted image, which can improve the symbol decision accuracy. Finally, through numerical simulation, we show the possibility of robust detection and tracking of the LEA, which results in a symbol error rate (SER) performance improvement. View Full-Text
Keywords: visual-MIMO; GCM; color independency; LEA detection; LEA tracking visual-MIMO; GCM; color independency; LEA detection; LEA tracking
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kim, J.-E.; Kim, J.-W.; Kim, K.-D. LEA Detection and Tracking Method for Color-Independent Visual-MIMO. Sensors 2016, 16, 1027.

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