Local image quality metric for a distributed smart camera network with overlapping FOVs
- Resource Type
- Conference
- Authors
- Shen, Edward; Hornsey, Richard
- Source
- 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on. :1-6 Aug, 2011
- Subject
- Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Computing and Processing
Photonics and Electrooptics
Cameras
Calibration
Linux
Target tracking
Image processing
Smart cameras
- Language
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.