A class of Kalman filters for real-time image processing

Research output: Contribution to journalConference article

5 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)22-29
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5012
DOIs
StatePublished - Aug 8 2003
EventReal Time Imaging VII - Santa Clara, CA, United States
Duration: Jan 22 2003Jan 23 2003

Fingerprint

Kalman filters
Kalman Filter
image processing
Image Processing
Image processing
Real-time
Object-oriented
specifications
Fault tolerant computer systems
Specification
Specifications
Sensor Fusion
multisensor fusion
Fault-tolerant
coding
Fusion reactions
Coding
fusion
Imaging
Class

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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AB - 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.

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