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Control of tracking systems by image correlation

Published online by Cambridge University Press:  09 March 2009

Joseph Ciccotelli ,
Michel Dufaut  and
René Husson
Joseph Ciccotelli
Affiliation:
Centre de Recherche en Automatique de Nancy C.N.R.S. UA 821 B.P. 850, 54011 Nancy Cedex, (France)
Michel Dufaut
Affiliation:
Centre de Recherche en Automatique de Nancy C.N.R.S. UA 821 B.P. 850, 54011 Nancy Cedex, (France)
René Husson
Affiliation:
Centre de Recherche en Automatique de Nancy C.N.R.S. UA 821 B.P. 850, 54011 Nancy Cedex, (France)
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Summary

Owing to advances in machine vision, it is now possible to study automatic gripping of moving parts. This complex task requires a precise knowledge of the displacements of objects in a camera field.

In this paper, a method to analyse the motion of parts is presented; it is based on the correlation of numerical images. The treatment of data provided by the image background makes this method quite original.

The utilization of this method, often considered as rather awkward, makes it possible, in this case, to develop a position feedback operation of the robot actuators controlled in an open loop (step by step motors).

Keywords

Dynamic scene analysisBinary correlationTracking feedback systemRobotics
Type
Article
Information
Robotica , Volume 5 , Issue 3 , July 1987 , pp. 201 - 206
Copyright
Copyright © Cambridge University Press 1987

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References

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