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Proceedings Paper

Background characterization using a second-order moment function
Author(s): Marija Scholl; Gabriel Udomkesmalee
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Paper Abstract

A typical object recognition problem deals mainly with the characterization of objects and treats background as noise. However, in many applications, we can assume the reverse. Intuitively, the background information is easier to describe in terms of intensity distributions (textures), while the unknown nature of objects' types and positions poses a more difficult formulation for general pattern recognition problems. In this paper, we propose the use of a second order moment function to describe the scene. Various types of backgrounds and objects are evaluated, and results from this experiment are presented.

Paper Details

Date Published: 1 March 1991
PDF: 7 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45452
Show Author Affiliations
Marija Scholl, Jet Propulsion Lab. (United States)
Gabriel Udomkesmalee, Noetic Innovations Co. (United States)


Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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