1 November 1989 Reliable Bayes Classification Using Multiple Description Segments And Its Applications In Scene Analysis
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nelson H. C. Yung, 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); doi: 10.1117/12.970091; https://doi.org/10.1117/12.970091
PROCEEDINGS
11 PAGES


SHARE
Back to Top