Dynamic image sequence analysis using fuzzy measures

Author

Liu, Zhi-Qiang ; Bruton, Leonard T. ; Bezdek, James C. ; Keller, James M. ; Dance, Sandy ; Bartley, Norman R. ; Zhang, Cishen

Author_Institution

Department of Computer Science and Software Engineering, University of Melbourne, Victoria, Australia

Volume

31

Issue

4

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

557

Lastpage

572

Abstract

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

Keywords

feedback; fuzzy logic; image sequences; object-oriented programming; recursive filters; time-varying systems; complex real traffic scenes; dynamic image sequence analysis; feedback system; fuzzy measures; fuzzy sets; image understanding system; recursive filter; symbolic object-oriented image interpretation system; time-varying 3-D frequency-planar passband; Feedback; Filters; Frequency; Fuzzy sets; Fuzzy systems; Image sequence analysis; Image sequences; Passband; Shape; Time varying systems;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.938260

Filename

938260