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Colour-Based Visual Servoing Under Varying Illumination Conditions This publication appears in: Robotics and Autonomous Systems Authors: G. De Cubber, S. Ahmed Berrabah and H. Sahli Volume: 47 Issue: 4 Pages: 225-249 Publication Year: 2004
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. Here, 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 non-linear 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.
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