Real-time architecture for robust motion estimation under varying illumination conditions Díaz, Javier Ros Vidal, Eduardo Rodríguez-Gómez, Rafael Pino Prieto, María Begoña del Reconfigurable devices (FPGAs) Optical flow Real-time image processing Robust ilumination systems 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. 2012-11-13T10:09:29Z 2012-11-13T10:09:29Z 2007 journal article 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] 0948-695X 0948-6968 (online) doi: 10.3217/jucs-013-03-0363 http://hdl.handle.net/10481/22317 eng info:eu-repo/grantAgreement/EC/FP6/016276-2 http://creativecommons.org/licenses/by-nc-nd/3.0/ open access Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Universiti Malaysia Sarawak