Visual Interpretation of known objects in constrained scenes


Visual Interpretation of known objects in constrained scenes

Royal Society discussion meeting on

Natural and artificial low level seeing systems

G D Sullivan,

Department of Computer Science

The University of Reading

email: g.sullivan@reading.ac.uk

Abstract

Visual interpretation requires knowledge of the viewed scene, if only to define the objects and events to be recognized. The scene context provides powerful constraints which make the computer recognition of objects tractable.

Recent work on the visual interpretation of traffic scenes is described which relies heavily on a priori knowledge of the scene and position of the camera, and expectations about the shapes of vehicles and their likely movements in the scene. Knowledge is represented in the computer as explicit 3D geometrical models, dynamic filters, and descriptions of behaviour.

Model-based vision, based on reasoning with analog models, avoids many of the classical problems in visual perception: recognition is robust against changes in the image of shape, size, colour and illumination. The 3D understanding of the scene which results also deals naturally with occlusion, and allows the behaviour of vehicles to be interpreted.

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Last Modified: 12:43pm BST, October 09, 1997