Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77080
Title: Discovering and Tracking-based Detection System for Optical Camera Communication
Authors: Mederos-Barrera, Antonio
Jurado Verdú, Cristo Manuel 
Guerra, Victor 
Rabadán, José A. 
Perez-Jimenez, Rafael 
UNESCO Clasification: 3325 Tecnología de las telecomunicaciones
Keywords: Detection System
Discovering
Optical Camera Communication
Tracking
Tracking Test System
Issue Date: 2020
Journal: 2020 12Th International Symposium On Communication Systems, Networks And Digital Signal Processing, Csndsp 2020
Conference: 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Abstract: Detecting the transmitting source within a frame is fundamental in Optical Camera Communications (OCC). Until now, the detection techniques used today are discovery techniques, that is, in each frame or set of frames, the source is detected unequivocally. These techniques are expensive and may require learning (in case of using Deep Learning), which makes the implementation of receivers in users' end devices, such as smartphones, a new challenge to consider. In this article, we propose a detection system oriented to devices with limited hardware making use of basic operations, and also proposes to use the tracking technique. Since the tracking does not detect whether the source is within the region being tracked, this combination allows to obtain higher camera capture rates (FPS). This system may allow limited hardware devices to implement OCC technology.
URI: http://hdl.handle.net/10553/77080
ISBN: 9781728167435
DOI: 10.1109/CSNDSP49049.2020.9249637
Source: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020[EISSN ], (Julio 2020)
Appears in Collections:Actas de congresos
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