GVU Technical Report Number:
GIT-GVU-95-32
Title:
Interactive Model-Based Image Understanding
Authors:
Daryl T. Lawton
Warren F. Gardner
Abstract:
This paper describes a general architecture for an interactive
model-based vision system. A human specifies a limited amount of
information which establishes a context for autonomous interpretation
of images. Object models are described by constraints specifying
necessary geometrical properties and relationships between objects.
The use of constraints allows for flexible object instantiation. A
user can indicate an object in a scene and this directs perceptual
processing routines as well as constraining future object
instantiations. This interactive model-based concept has been applied
to the domain of vehicle tracking, and this paper concludes with
several processing examples from this domain.
Keywords:
Image understanding, model-based, interactive, vehicle tracking
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