Active-Vision System Reconfiguration for Form Recognition in the Presence of Dynamic Obstacles

This paper presents a novel, agent-based sensing-system reconfigura tion methodology for the recognition of time-varying geometry objects or subjects (targets). A multi-camera active-vision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction...

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Bibliographic Details
Published inArticulated Motion and Deformable Objects Vol. 5098; pp. 188 - 207
Main Authors Mackay, Matthew, Benhabib, Beno
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2008
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Active Vision
Human Action Recognition
Human Form Recognition
Sensing System Reconfiguration
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Summary:This paper presents a novel, agent-based sensing-system reconfigura tion methodology for the recognition of time-varying geometry objects or subjects (targets). A multi-camera active-vision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction horizon. The proposed method seeks to maximize the visibility of such a time-varying geometry in a cluttered, dynamic environment. Simulated experiments clearly show a tangible potential performance gain.
ISBN:3540705163
9783540705161
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-70517-8_19