Title :
Local image quality metric for a distributed smart camera network with overlapping FOVs
Author :
Shen, Edward ; Hornsey, Richard
Author_Institution :
VISOR Lab., York Univ., Toronto, ON, Canada
Abstract :
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.
Keywords :
cameras; object detection; DSC network; analytical framework; distributed smart camera network; global QOV level; global level metric; local image quality metric; overlapping FOV; spherical target detection; target-of-interest; Calibration; Cameras; Image processing; Linux; Smart cameras; Target tracking;
Conference_Titel :
Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on
Conference_Location :
Ghent
Print_ISBN :
978-1-4577-1708-6
Electronic_ISBN :
978-1-4577-1706-2
DOI :
10.1109/ICDSC.2011.6042920