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Proceedings Paper

Self-organized integration of adaptive visual cues for face tracking
Author(s): Jochen Triesch
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Paper Abstract

The integration of information stemming from different sensors, cues, or modalities is among the most fundamental problems of perception in biological and artificial systems. Due to frequent changes in complex environments, the integration has to be adaptive. However, there usually is no teacher available to guide the adaptation. An agent has to figure out on his own which cues are reliable for a given task in the current context--self-organization is required. We have recently proposed a new integration scheme for such situations.

Paper Details

Date Published: 3 April 2000
PDF: 10 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381654
Show Author Affiliations
Jochen Triesch, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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