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Real-time architecture for robust motion estimation under varying illumination conditions
dc.contributor.author | Díaz, Javier | es_ES |
dc.contributor.author | Ros Vidal, Eduardo | es_ES |
dc.contributor.author | Rodríguez-Gómez, Rafael | es_ES |
dc.contributor.author | Pino Prieto, María Begoña del | es_ES |
dc.date.accessioned | 2012-11-13T10:09:29Z | |
dc.date.available | 2012-11-13T10:09:29Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Díaz, J.; Ros, E.; Rodríguez-Gómez, R.; Pino, B. Real tiem architecture for robust motion estimation under varying illumination conditions. Journal of Universal Computer Science 13(3): 363-376 (2007). [http://hdl.handle.net/10481/22317] | en_US |
dc.identifier.issn | 0948-695X | |
dc.identifier.issn | 0948-6968 (online) | |
dc.identifier.other | doi: 10.3217/jucs-013-03-0363 | |
dc.identifier.uri | http://hdl.handle.net/10481/22317 | |
dc.description.abstract | Motion estimation from image sequences is a complex problem which requires high computing resources and is highly affected by changes in the illumination conditions in most of the existing approaches. In this contribution we present a high performance system that deals with this limitation. Robustness to varying illumination conditions is achieved by a novel technique that combines a gradient-based optical flow method with a non-parametric image transformation based on the Rank transform. The paper describes this method and quantitatively evaluates its robustness to different illumination changing patterns. This technique has been successfully implemented in a real-time system using reconfigurable hardware. Our contribution presents the computing architecture, including the resources consumption and the obtained performance. The final system is a real-time device capable to computing motion sequences in real-time even in conditions with significant illumination changes. The robustness of the proposed system facilitates its use in multiple potential application fields. | en_US |
dc.description.sponsorship | This work has been supported by the grants DEPROVI (DPI2004-07032), DRIVSCO (IST-016276-2) and TIC2007:”Plataforma Sw-Hw para sistemas de visión 3D en tiempo real”. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Universiti Malaysia Sarawak | en_US |
dc.relation | info:eu-repo/grantAgreement/EC/FP6/016276-2 | es_ES |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject | Reconfigurable devices (FPGAs) | en_US |
dc.subject | Optical flow | en_US |
dc.subject | Real-time image processing | en_US |
dc.subject | Robust ilumination systems | en_US |
dc.title | Real-time architecture for robust motion estimation under varying illumination conditions | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en_US |
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