Abstract
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.
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Mackay, M., Benhabib, B. (2008). Active-Vision System Reconfiguration for Form Recognition in the Presence of Dynamic Obstacles. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2008. Lecture Notes in Computer Science, vol 5098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70517-8_19
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DOI: https://doi.org/10.1007/978-3-540-70517-8_19
Publisher Name: Springer, Berlin, Heidelberg
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