@misc{10481/22317,
year = {2007},
url = {http://hdl.handle.net/10481/22317},
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.},
organization = {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)},
keywords = {Optical flow},
keywords = {Real-time image processing},
keywords = {Robust ilumination systems},
title = {Real-time architecture for robust motion estimation under varying illumination conditions},
author = {Díaz, Javier and Ros Vidal, Eduardo and Rodríguez-Gómez, Rafael and Pino Prieto, María Begoña del},
}