Real-time architecture for robust motion estimation under varying illumination conditions
ISSN: 0948-6968 (online)
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Universiti Malaysia Sarawak
Reconfigurable devices (FPGAs)Optical flowReal-time image processingRobust ilumination systems
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]
PatrocinadorThis 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”.
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.