Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/77080
Título: | Discovering and Tracking-based Detection System for Optical Camera Communication | Autores/as: | Mederos Barrera,Antonio Jurado Verdú, Cristo Manuel Guerra, Victor Rabadán, José A. Perez-Jimenez, Rafael |
Clasificación UNESCO: | 3325 Tecnología de las telecomunicaciones | Palabras clave: | Detection System Discovering Optical Camera Communication Tracking Tracking Test System |
Fecha de publicación: | 2020 | Publicación seriada: | 2020 12Th International Symposium On Communication Systems, Networks And Digital Signal Processing, Csndsp 2020 | Conferencia: | 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 | Resumen: | 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 | Fuente: | 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020[EISSN ], (Julio 2020) |
Colección: | Actas de congresos |
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actualizado el 19-oct-2024
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