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Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies
Cita
Cuevas Rodríguez, Carlos 
ORCID: https://orcid.org/0000-0001-9873-8502, Mohedano del Pozo, Raúl and García Santos, Narciso ORCID: https://orcid.org/0000-0002-0397-894X
(2012).
Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies.
"Optics Letters", v. 37
(n. 15);
pp. 3159-3161.
ISSN 0146-9592.
https://doi.org/10.1364/OL.37.003159.
ORCID: https://orcid.org/0000-0001-9873-8502, Mohedano del Pozo, Raúl and García Santos, Narciso ORCID: https://orcid.org/0000-0002-0397-894X
(2012).
Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies.
"Optics Letters", v. 37
(n. 15);
pp. 3159-3161.
ISSN 0146-9592.
https://doi.org/10.1364/OL.37.003159.
Descripción
| Título: | Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Optics Letters |
| Fecha: | Agosto 2012 |
| ISSN: | 0146-9592 |
| Volumen: | 37 |
| Número: | 15 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Electronic devices endowed with camera platforms require new and powerful machine vision applications, which commonly include moving object detection strategies. To obtain high-quality results, the most recent strategies estimate nonparametrically background and foreground models and combine them by means of a Bayesian classifier. However, typical classifiers are limited by the use of constant prior values and they do not allow the inclusion of additional spatiodependent prior information. In this Letter, we propose an alternative Bayesian classifier that, unlike those reported before, allows the use of additional prior information obtained from any source and depending on the spatial position of each pixel.
Más información
| ID de Registro: | 30540 |
|---|---|
| Identificador DC: | https://oa.upm.es/30540/ |
| Identificador OAI: | oai:oa.upm.es:30540 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5487450 |
| Identificador DOI: | 10.1364/OL.37.003159 |
| URL Oficial: | http://www.opticsinfobase.org/ol/abstract.cfm?uri=... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 03 Ago 2014 11:23 |
| Ultima Modificación: | 12 Dic 2024 09:53 |
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