Reliable Bayes Classification Using Multiple Description Segments And Its Applications In Scene Analysis

Nelson H. C. Yung; Kevin Jones

doi:10.1117/12.970091

1 November 1989 Reliable Bayes Classification Using Multiple Description Segments And Its Applications In Scene Analysis

Nelson H. C. Yung, Kevin Jones

Author Affiliations +

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970091
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

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Nelson H. C. Yung and Kevin Jones "Reliable Bayes Classification Using Multiple Description Segments And Its Applications In Scene Analysis", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970091

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