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Moving Object Detection for Real-Time High-Quality Lightweight Applications on Smart Cameras
Cita
Cuevas Rodríguez, Carlos 
ORCID: https://orcid.org/0000-0001-9873-8502 and García Santos, Narciso ORCID: https://orcid.org/0000-0002-0397-894X
(2011).
Moving Object Detection for Real-Time High-Quality Lightweight Applications on Smart Cameras.
En: "International Conference on Consumer Electronics, ICCE 2011", 09/01/2011 - 12/01/2011, Las Vegas, NV, EEUU. ISBN 978-1-4244-8711-0. pp. 479-480.
https://doi.org/10.1109/ICCE.2011.5722693.
ORCID: https://orcid.org/0000-0001-9873-8502 and García Santos, Narciso ORCID: https://orcid.org/0000-0002-0397-894X
(2011).
Moving Object Detection for Real-Time High-Quality Lightweight Applications on Smart Cameras.
En: "International Conference on Consumer Electronics, ICCE 2011", 09/01/2011 - 12/01/2011, Las Vegas, NV, EEUU. ISBN 978-1-4244-8711-0. pp. 479-480.
https://doi.org/10.1109/ICCE.2011.5722693.
Descripción
| Título: | Moving Object Detection for Real-Time High-Quality Lightweight Applications on Smart Cameras |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | International Conference on Consumer Electronics, ICCE 2011 |
| Fechas del Evento: | 09/01/2011 - 12/01/2011 |
| Lugar del Evento: | Las Vegas, NV, EEUU |
| Título del Libro: | Proceedings of the International Conference on Consumer Electronics, ICCE 2011 |
| Fecha: | 2011 |
| ISBN: | 978-1-4244-8711-0 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Here, a novel and efficient strategy for moving object detection by non-parametric modeling on smart cameras is presented. Whereas the background is modeled using only color information, the foreground model combines color and spatial information. The application of a particle filter allows the update of the spatial information and provides a priori information about the areas to analyze in the following images, enabling an important reduction in the computational requirements and improving the segmentation results
Más información
| ID de Registro: | 12175 |
|---|---|
| Identificador DC: | https://oa.upm.es/12175/ |
| Identificador OAI: | oai:oa.upm.es:12175 |
| Identificador DOI: | 10.1109/ICCE.2011.5722693 |
| URL Oficial: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 04 Sep 2012 11:54 |
| Ultima Modificación: | 21 Abr 2016 11:22 |
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