Real-time Architecture for Robust Motion Estimation under Varying Illumination Conditions

: 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 robustnes...

• Type: Journal
• Year: 2007
• Where: JUCS
• Authors: Javier Díaz, Eduardo Ros, Rafael Rodríguez-Gomez, Begoña del Pino
• Keywords: Illumination Conditions, JUCS 2007, Non-parametric Image Transformation, Robustness