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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/22317

Title: Real-time architecture for robust motion estimation under varying illumination conditions
Authors: Díaz, Javier
Ros, Eduardo
Rodríguez-Gómez, Rafael
Pino Prieto, Begoña del
Issue Date: 2007
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.
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”.
Publisher: Universiti Malaysia Sarawak
Keywords: Reconfigurable devices (FPGAs)
Optical flow
Real-time image processing
Robust ilumination systems
URI: http://hdl.handle.net/10481/22317
ISSN: 0948-695X
0948-6968 (online)
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
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]
Appears in Collections:OpenAIRE (Open Access Infrastructure for Research in Europe)

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