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Automatic Bandwidth Estimation Strategy for High-Quality Non-Parametric Modeling based Moving Object Detection
Citation
Cuevas Rodríguez, Carlos and García Santos, Narciso (2011). Automatic Bandwidth Estimation Strategy for High-Quality Non-Parametric Modeling based Moving Object Detection. In: "2011 18th IEEE International Conference on Image Processing (ICIP)", 11/09/2011 - 14/09/2011, Bruselas, Bélgica. ISBN 978-1-4577-1304-0. pp. 1757-1760. https://doi.org/10.1109/ICIP.2011.6115712.
Description
| Title: | Automatic Bandwidth Estimation Strategy for High-Quality Non-Parametric Modeling based Moving Object Detection |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 2011 18th IEEE International Conference on Image Processing (ICIP) |
| Event Dates: | 11/09/2011 - 14/09/2011 |
| Event Location: | Bruselas, Bélgica |
| Title of Book: | Proceedings of 2011 18th IEEE International Conference on Image Processing (ICIP) |
| Date: | 2011 |
| ISBN: | 978-1-4577-1304-0 |
| Subjects: | |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Señales, Sistemas y Radiocomunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
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
More information
| Item ID: | 13469 |
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| DC Identifier: | https://oa.upm.es/13469/ |
| OAI Identifier: | oai:oa.upm.es:13469 |
| DOI: | 10.1109/ICIP.2011.6115712 |
| Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6115800 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 22 Nov 2012 12:34 |
| Last Modified: | 21 Apr 2016 12:47 |
