Faster scaling algorithms for network problems
SIAM Journal on Computing
A review of statistical data association for motion correspondence
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object identification: a Bayesian analysis with application to traffic surveillance
Artificial Intelligence - Special issue: artificial intelligence 40 years later
An Efficient Implementation of Edmonds' Algorithm for Maximum Matching on Graphs
Journal of the ACM (JACM)
An extension of the Munkres algorithm for the assignment problem to rectangular matrices
Communications of the ACM
Tracking Many Objects with Many Sensors
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Color constancy under varying illumination
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Theoretical improvements in algorithmic efficiency for network flow problems
Combinatorial optimization - Eureka, you shrink!
Automatic Learning of an Activity-Based Semantic Scene Model
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Topology Inference for a Vision-Based Sensor Network
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Recovering Non-overlapping Network Topology Using Far-field Vehicle Tracking Data
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Validation of blind region learning and tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Incremental, scalable tracking of objects inter camera
Computer Vision and Image Understanding
Machine Vision and Applications
Object matching in disjoint cameras using a color transfer approach
Machine Vision and Applications
Object identification in a Bayesian context
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A distributed message passing algorithm for sensor localization
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Bridging the gaps between cameras
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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This paper describes a new distributed algorithm for tracking in distributed camera networks. This algorithm operates without a centralized server that collects all the measurements over the entire network. With the observations sent from its neighbors and the local probabilistic transition model, each camera independently estimates local paths in its neighborhood. The conflicts on locally estimated paths among cameras are resolved by a voting algorithm, and the agreed local paths are finally combined into global paths. Our experiments with simulated data demonstrate that the proposed distributed tracking algorithm is fast and scalable without degrading tracking accuracy.