Automatic Bandwidth Estimation Strategy for High-Quality Non-Parametric Modeling based Moving Object Detection
Data(s) |
2011
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Resumo |
Here, a novel and efficient moving object detection strategy by non-parametric modeling is presented. Whereas the foreground is modeled by combining color and spatial information, the background model is constructed exclusively with color information, thus resulting in a great reduction of the computational and memory requirements. The estimation of the background and foreground covariance matrices, allows us to obtain compact moving regions while the number of false detections is reduced. Additionally, the application of a tracking strategy provides a priori knowledge about the spatial position of the moving objects, which improves the performance of the Bayesian classifier |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.T.S.I. Telecomunicación (UPM) |
Relação |
http://oa.upm.es/13469/1/INVE_MEM_2011_112782.pdf http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6115800 info:eu-repo/semantics/altIdentifier/doi/10.1109/ICIP.2011.6115712 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
Fonte |
Proceedings of 2011 18th IEEE International Conference on Image Processing (ICIP) | 2011 18th IEEE International Conference on Image Processing (ICIP) | 11/09/2011 - 14/09/2011 | Bruselas, Bélgica |
Palavras-Chave | #Telecomunicaciones |
Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |