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Local image quality metric for a distributed smart camera network with overlapping FOVs

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2 Author(s)
Shen, E. ; VISOR Lab., York Univ., Toronto, ON, Canada ; Hornsey, R.

A set of camera selection templates, using simple rules based on a local (camera) level metric, are implemented for a twelve camera inward-looking distributed smart camera network. The local metric represents the quality of detection for a given camera node of the target-of-interest and is based on a measurable target parameter. To understand the effectiveness of the camera selections, an analytical framework consisting of a global (system) level metric has been designed. The camera selection methods are able to maintain a desirable global metric performance while using a subset of the total cameras available. This is true even when the system undergoes perturbation by the loss of a single camera or by a single occluding target.

Published in:

Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on

Date of Conference:

22-25 Aug. 2011