Dynamic image sequence analysis using fuzzy measures

In this paper, we present an image understanding system using fuzzy sets and fuzzy measures. This system is based on a symbolic object-oriented image interpretation system. We apply a simple, powerful three-dimensional (3-D) recursive filter to tracking moving objects in a dynamic image sequence. Th...

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Bibliographic Details
Published in:IEEE transactions on cybernetics 2001-08, Vol.31 (4), p.557-572
Main Authors: Zhi-Qiang Liu, Bruton, L.T., Bezdek, J.C., Keller, J.M., Dance, S., Bartley, N.R., Cishen Zhang
Format: Article
Language:English
Subjects:
Dynamical systems
Dynamics
Feedback
Filters
Frequency
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Fuzzy systems
Image sequence analysis
Image sequences
Passband
Shape
Three dimensional
Time varying systems
Uncertainty
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Summary:In this paper, we present an image understanding system using fuzzy sets and fuzzy measures. This system is based on a symbolic object-oriented image interpretation system. We apply a simple, powerful three-dimensional (3-D) recursive filter to tracking moving objects in a dynamic image sequence. This filter has a time-varying 3-D frequency-planar passband that is adapted in a feedback system to automatically track moving objects. However, as objects in the image sequence are not well-defined and are engaged in dynamic activities, their shapes and trajectories in most cases can be described only vaguely. In order to handle these uncertainties, we use fuzzy measures to capture subtle variations and manage the uncertainties involved. This enables us to develop an image understanding system that produces a very natural output. We demonstrate the effectiveness of our system with complex real traffic scenes.
ISSN:1083-4419
2168-2267
1941-0492
2168-2275
DOI:10.1109/3477.938260