An Integrated Framework for Robust Real-Time 3D Object Tracking

Authors:
Markus Vincze;Minu Ayromlou;Wilfried Kubinger
Affiliations:
-;-;-
Venue:
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Year:
1999

Citing 12
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Abstract

Vision-based control of motion can only be feasible if vision provides reliable control signals and when full system integration is achieved. In this paper we will address these two issues. A modular system architecture is built up around the basic primitives of object tracking, the features of the object. The initialisation is partly automated by using search functions to describe the task. The features found and tracked in the image are contained in a wire-frame model of the object as seen in the image. This model is used for feature tracking and continuous pose determination. Of particular need is a method of robust feature tracking. This is achieved using EPIC, a method of Edge-Projected Integration of Cues. A demonstration shows how the robot follows the pose of an object moved by hand in common room lighting at frame rate using a PC.