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Proceedings Paper

A class of Kalman filters for real-time image processing
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Paper Abstract

In this paper we derive the object-oriented requirements and a design for a class of Kalman filters suitable for real-time image processing. First, we describe the Kalman filter and we provide motivation for using it as a mechanism for fault-tolerant computing and sensor fusion. Next, the details of using Kalman filters in imaging applications are discussed. Then, the advantages of using object-oriented specification, design and languages for the implementation of Kalman filters are studied. Finally, we present a specification and design for a class of Kalman filters, which is suitable for coding.

Paper Details

Date Published: 14 April 2003
PDF: 8 pages
Proc. SPIE 5012, Real-Time Imaging VII, (14 April 2003); doi: 10.1117/12.477499
Show Author Affiliations
Phillip A. Laplante, The Pennsylvania State Univ. (United States)
Colin J. Neill, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 5012:
Real-Time Imaging VII
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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