Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Nonparametric belief propagation for self-calibration in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Robust probabilistic inference in distributed systems
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
A robust architecture for distributed inference in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
The effects of ranging noise on multihop localization: an empirical study
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Thin junction tree filters for simultaneous localization and mapping
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Automated multi-camera planar tracking correspondence modeling
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Consistent labeling of tracked objects in multiple cameras with overlapping fields of view
IEEE Transactions on Pattern Analysis and Machine Intelligence
Virtual high-resolution for sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Object tracking in the presence of occlusions via a camera network
Proceedings of the 6th international conference on Information processing in sensor networks
Calibrating distributed camera networks using belief propagation
EURASIP Journal on Applied Signal Processing
Facet: towards a smart camera network of mobile phones
Proceedings of the 1st international conference on Autonomic computing and communication systems
Target localization in camera wireless networks
Pervasive and Mobile Computing
Algebraic approach to recovering topological information in distributed camera networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Online co-localization in indoor wireless networks by dimension reduction
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Exploiting low complexity motion for ad-hoc localisation
International Journal of Sensor Networks
Modeling mobile robot motion with polar representations
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Development and calibration of a low cost wireless camera sensor network
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Continuous learning of a multilayered network topology in a video camera network
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Approximate initialization of camera sensor networks
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Localization for anchoritic sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
An automatic calibration method for stereo-based 3D distributed smart camera networks
Computer Vision and Image Understanding
Distributed target tracking using self localizing smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
A distributed topological camera network representation for tracking applications
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
3-D target-based distributed smart camera network localization
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Vehicle occlusion model for traffic monitoring
Proceedings of the Second International Workshop on Computational Transportation Science
A decentralized junction tree approach to mobile robots cooperative localization
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
Self-localizing smart camera networks
ACM Transactions on Sensor Networks (TOSN)
Motion-aided network SLAM with range
International Journal of Robotics Research
Object tracking in the presence of occlusions using multiple cameras: A sensor network approach
ACM Transactions on Sensor Networks (TOSN)
Efficient background subtraction for real-time tracking in embedded camera networks
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks
Multimedia Tools and Applications
Distributed data association in smart camera networks using belief propagation
ACM Transactions on Sensor Networks (TOSN)
Hi-index | 0.00 |
Camera networks are perhaps the most common type of sensor network and are deployed in a variety of real-world applications including surveillance, intelligent environments and scientific remote monitoring. A key problem in deploying a network of cameras is calibration, i.e., determining the location and orientation of each sensor so that observations in an image can be mapped to locations in the real world. This paper proposes a fully distributed approach for camera network calibration. The cameras collaborate to track an object that moves through the environment and reason probabilistically about which camera poses are consistent with the observed images. This reasoning employs sophisticated techniques for handling the difficult nonlinearities imposed by projective transformations, as well as the dense correlations that arise between distant cameras. Our method requires minimal overlap of the cameras' fields of view and makes very few assumptions about the motion of the object. In contrast to existing approaches, which are centralized, our distributed algorithm scales easily to very large camera networks. We evaluate the system on a real camera network with 25 nodes as well as simulated camera networks of up to 50 cameras and demonstrate that our approach performs well even when communication is lossy.