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García Santos, Narciso and Cuevas Rodríguez, Carlos (2010). Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space. In: "IEEE 17th International Conference on Image Processing ICIP 2010", 26/09/2010 - 29/09/2010, Hong Kong, China. ISBN 978-1-4244-7992-4.
Title: | Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | IEEE 17th International Conference on Image Processing ICIP 2010 |
Event Dates: | 26/09/2010 - 29/09/2010 |
Event Location: | Hong Kong, China |
Title of Book: | Proceedings of the IEEE 17th International Conference on Image Processing ICIP 2010 |
Date: | December 2010 |
ISBN: | 978-1-4244-7992-4 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This work presents a novel background-foreground classification technique based on adaptive non-parametric kernel estimation in a color-gradient space of components. By combining normalized color components with their gradients, shadows are efficiently suppressed from the results, while the luminance information in the moving objects is preserved. Moreover, a fast multi-region iterative tracking strategy applied over previously detected foreground regions allows to construct a robust foreground modeling, which combined with the background model increases noticeably the quality in the detections. The proposed strategy has been applied to different kind of sequences, obtaining satisfactory results in complex situations such as those given by dynamic backgrounds, illumination changes, shadows and multiple moving objects.
Item ID: | 9229 |
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DC Identifier: | https://oa.upm.es/9229/ |
OAI Identifier: | oai:oa.upm.es:9229 |
Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
Deposited by: | Memoria Investigacion |
Deposited on: | 17 Oct 2011 09:54 |
Last Modified: | 20 Apr 2016 17:44 |