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ORCID: https://orcid.org/0000-0001-9873-8502, Berjón Díez, Daniel
ORCID: https://orcid.org/0000-0003-0584-7166 and García Santos, Narciso
ORCID: https://orcid.org/0000-0002-0397-894X
(2015).
Detection of static moving objects using multiple nonparametric background models.
En: "International Symposium on Consumer Electronics (ISCE 2015)", 24/06/2015 - 26/06/2015, Madrid, Spain. pp. 1-2.
https://doi.org/10.1109/ISCE.2015.7177804.
| Título: | Detection of static moving objects using multiple nonparametric background models |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | International Symposium on Consumer Electronics (ISCE 2015) |
| Fechas del Evento: | 24/06/2015 - 26/06/2015 |
| Lugar del Evento: | Madrid, Spain |
| Título del Libro: | International Symposium on Consumer Electronics (ISCE 2015) |
| Fecha: | 2015 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Detection of moving objects remaining static is a fundamental step in many computer vision applications, since it allows to identify potentially dangerous situations (abandoned objects) and people temporally static. Here, we propose a strategy to efficiently detect such static moving objects, which is based on three nonparametric background models (long term, medium term and short term) to detect moving objects and a novel Finite State Machine to identify when a moving object becomes static.
| ID de Registro: | 42771 |
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| Identificador DC: | https://oa.upm.es/42771/ |
| Identificador OAI: | oai:oa.upm.es:42771 |
| Identificador DOI: | 10.1109/ISCE.2015.7177804 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 17 Jul 2016 07:52 |
| Ultima Modificación: | 17 Jul 2016 07:52 |
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