Visual Servoing under Changing Illumination Conditions

Geert De Cubber, Hichem Sahli, Eric Colon, Yvan Baudoin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Visual servoing, or the control of motion on the basis of image analysis in a closed loop, is more and more recognized as an important tool in modern robotics. In this paper, we present a new model-driven approach to derive a description of the motion of a target object. This method can be subdivided into an illumination invariant target detection stage and a servoing process which uses an adaptive Kalman filter to update the model of the nonlinear system. This technique can be applied to any pan-tilt-zoom camera mounted on a mobile vehicle as well as to a static camera tracking moving environmental features
Original languageEnglish
Title of host publicationProc. International Workshop on Attention and Performance in Computer Vision (ICVS03)
Number of pages8
Publication statusPublished - 2003

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