An architecture for a self configurable video supervision
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Content and task-based view selection from multiple video streams
Multimedia Tools and Applications
Adaptive online camera coordination for multi-camera multi-target surveillance
Computer Vision and Image Understanding
Fusion of thermal infrared and visible spectrum video for robust surveillance
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Camera selection for tracking in distributed smart camera networks
ACM Transactions on Sensor Networks (TOSN)
Coverage quality and smoothness criteria for online view selection in a multi-camera network
ACM Transactions on Sensor Networks (TOSN)
Automatic node selection and target tracking in wireless camera sensor networks
Computers and Electrical Engineering
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In this paper, an outdoor multi-camera video surveillance system operating under changing weather conditions is presented. A new confidence measure, Appearance Ratio (AR), is defined to automatically evaluate the sensors' performance for each time instant. By comparing their ARs, the system can select the most appropriate cameras to perform specific tasks. When redundant measurements are available for a target, the AR measures are used to perform a weighted fusion of them. Experimental results are presented on outdoor scenes under different weather conditions.