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Proceedings Paper

Reliable Bayes Classification Using Multiple Description Segments And Its Applications In Scene Analysis
Author(s): Nelson H. C. Yung; Kevin Jones
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Paper Abstract

This paper presents the theory and realisation of the Multiple Description Segment (MDS) technique used in a commercially available integrated vision environment. It was applied to a sequence of scenes of an office corridor. The preliminary results of the classification have shown confident decision by the classifier on well defined objects and objects with high complexity and noise interference. Objects that are very similar (but different in functionality) were also recognised correctly. The merits and pitfalls of the technique and the future direction of development will be discussed.

Paper Details

Date Published: 1 November 1989
PDF: 11 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970091
Show Author Affiliations
Nelson H. C. Yung, University of Newcastle Upon Tyne (United Kingdom)
Kevin Jones, University of Newcastle Upon Tyne (United Kingdom)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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