Adaptive online camera coordination for multi-camera multi-target surveillance
Computer Vision and Image Understanding
Fast track article: Market mechanisms for resource allocation in pervasive sensor applications
Pervasive and Mobile Computing
Visual sensor network lifetime maximization by prioritized scheduling of nodes
Journal of Network and Computer Applications
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks
Multimedia Tools and Applications
Coverage quality and smoothness criteria for online view selection in a multi-camera network
ACM Transactions on Sensor Networks (TOSN)
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Wireless networks of visual sensors have recently emerged as a new type of sensor-based intelligent system, with performance and complexity challenges that go beyond that of existing wireless sensor networks. The goal of the visual sensor network we examine is to provide a user with visual information from any arbitrary viewpoint within the monitored field. This can be accomplished by synthesizing image data from a selection of cameras whose fields of view overlap with the desired field of view. In this work, we compare two methods for the selection of the camera-nodes. The first method selects cameras that minimize the difference between the images provided by the selected cameras and the image that would be captured by a real camera from the desired viewpoint. The second method considers the energy limitations of the battery powered camera-nodes, as well as their importance in the 3D coverage preservation task. Simulations using both metrics for camera-node selection show a clear trade-off between the quality of the reconstructed image and the network’s ability to provide full coverage of the monitored 3D space for a longer period of time.