Visual Servoing under Changing Illumination Conditions

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

Visual Servoing under Changing Illumination Conditions

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

Vrije Universiteit Brussel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proc. International Workshop on Attention and Performance in Computer Vision (ICVS03)
Number of pages	8
Publication status	Published - 2003

Access to Document

http://mecatron.rma.ac.be/pub/2003/ICVS03_Geert.pdf

Cite this

@inproceedings{2c3ced09ba954ae981a8df194cd718ef,

title = "Visual Servoing under Changing Illumination Conditions",

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",

author = "\{De Cubber\}, Geert and Hichem Sahli and Eric Colon and Yvan Baudoin",

year = "2003",

language = "English",

booktitle = "Proc. International Workshop on Attention and Performance in Computer Vision (ICVS03)",

}

TY - GEN

T1 - Visual Servoing under Changing Illumination Conditions

AU - De Cubber, Geert

AU - Sahli, Hichem

AU - Colon, Eric

AU - Baudoin, Yvan

PY - 2003

Y1 - 2003

N2 - 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

AB - 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

UR - http://mecatron.rma.ac.be/pub/2003/ICVS03_Geert.pdf

UR - https://www.mendeley.com/catalogue/bba8f585-0c82-3a65-b009-d3a22604e79d/

M3 - Conference contribution

BT - Proc. International Workshop on Attention and Performance in Computer Vision (ICVS03)

ER -

Visual Servoing under Changing Illumination Conditions

Abstract

Access to Document

Other files and links

Fingerprint

Cite this