Dynamic image sequence analysis using fuzzy measures

In this paper, we present an image understanding system using fuzzy sets an d 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 is filter has a time-varying 3-D frequency-planar passband that is adapted in a feedback system to automatically track moving objects. However, as obj ects in the image sequence are not well-defined and are engaged in dynamic activities, their shapes and trajectories in most cases can be described on ly vaguely. In order to handle these uncertainties, we use fuzzy measures t o capture subtle variations and manage the uncertainties involved. This ena bles us to develop an image understanding system that produces a very natur al output. We demonstrate the effectiveness of our system with complex real traffic scenes.