A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Tracking Targets with Quality inWireless Sensor Networks
ICNP '05 Proceedings of the 13TH IEEE International Conference on Network Protocols
SensEye: a multi-tier camera sensor network
Proceedings of the 13th annual ACM international conference on Multimedia
The coverage problem in a wireless sensor network
Mobile Networks and Applications
Automated camera layout to satisfy task-specific and floor plan-specific coverage requirements
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
On the optimal placement of multiple visual sensors
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Object tracking in the presence of occlusions via a camera network
Proceedings of the 6th international conference on Information processing in sensor networks
Reconfiguration methods for mobile sensor networks
ACM Transactions on Sensor Networks (TOSN)
Adaptive Increase and Adaptive Decrease Algorithm for Wireless TCP
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Multi-Camera Networks: Principles and Applications
Multi-Camera Networks: Principles and Applications
Selection and orientation of directional sensors for coverage maximization
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Scalable target coverage in smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Spatial-temporal understanding of urban scenes through large camera network
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
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Visual sensor networks (VSNs) are becoming increasingly popular in a number of application domains. A critical ability of such networks is to self-configure to minimize the need for operator control, improve scalability, and reduce cost. One of the areas of self-configuration is camera coverage control: how cameras adjust their field-of-view to allow automatic tracking of maximum number of targets. The problem is shown to be NP-hard for stationary targets, and efficient centralized, distributed and semi-centralized heuristics exist that perform close to optimal. For stationary targets camera configuration is a one-time activity and can happen offline and before the actual deployment. In contrast, if the targets are mobile, as the targets move away from their recorded positions, the cameras need to configure dynamically and in real-time to ensure coverage accuracy. In this paper, we propose several policies for automatic control of the cameras with a goal of coverage maximization for mobile targets. We study these policies using important performance metrics such as coverage gain, adaptability, scalability, and energy consumption. Our results indicate that factors such as target mobility models, target and camera scales/densities, and target velocities have significant impact on the performance of a given policy. For most of the scenarios, we found that the protocols that take into account non-local information (e.g. neighborhood information) and have self-adapting parameters (e.g. frequency of camera configurations) outperform the protocols that are either purely local or purely global and have non-adaptive parameters.