A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Human motion analysis: a review
Computer Vision and Image Understanding
Application of Lie Algebras to Visual Servoing
International Journal of Computer Vision - Special issue on image-based servoing
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking Many Objects with Many Sensors
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Object identification in a Bayesian context
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Middleware for video surveillance networks
Proceedings of the international workshop on Middleware for sensor networks
Non-overlapping Distributed Tracking System Utilizing Particle Filter
Journal of VLSI Signal Processing Systems
Incremental, scalable tracking of objects inter camera
Computer Vision and Image Understanding
Trajectory Association and Fusion across Partially Overlapping Cameras
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Finding camera overlap in large surveillance networks
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Traffic modeling and prediction using camera sensor networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
A learning approach to interactive browsing of surveillance content
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Inter-camera association of multi-target tracks by on-line learned appearance affinity models
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Multiple objects tracking across multiple non-overlapped views
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
Traffic modeling and prediction using sensor networks: Who will go where and when?
ACM Transactions on Sensor Networks (TOSN)
A low-bandwidth camera sensor platform with applications in smart camera networks
ACM Transactions on Sensor Networks (TOSN)
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
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This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras The paper builds upon existing methods for tracking moving objects in a single camera The key extension is the use of a stochastic transition matrix to describe people's observed patterns of motion both within and between fields of view The parameters of the model for a particular environment are learnt simply by observing a person moving about in that environment No knowledge of the environment or the configuration of the cameras is required.