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Proceedings Paper

Exploiting temporal context in vision-based navigation
Author(s): William J. Christmas; Josef Kittler; Maria Petrou
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Paper Abstract

Probabilistic relaxation has been used previously as the basis for the development of an algorithm to label features extracted from an image with corresponding features from a model. The algorithm can be executed in a deterministic manner, making it particularly appropriate for real-time methods. In this paper, we show how the method may be adapted to image sequences, taken from a moving camera, in order to provide navigation information. We show how knowledge of the camera motion can be incorporated into the labelling algorithm in order to provide better real-time performance and improved robustness.

Paper Details

Date Published: 31 May 1996
PDF: 8 pages
Proc. SPIE 2736, Enhanced and Synthetic Vision 1996, (31 May 1996); doi: 10.1117/12.241030
Show Author Affiliations
William J. Christmas, Univ. of Surrey (United Kingdom)
Josef Kittler, Univ. of Surrey (United Kingdom)
Maria Petrou, Univ. of Surrey (United Kingdom)


Published in SPIE Proceedings Vol. 2736:
Enhanced and Synthetic Vision 1996
Jacques G. Verly, Editor(s)

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