The revised Fundamental Theorem of Moment Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to the Special Section on Video Surveillance
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
3D video surveillance with Augmented Virtual Environments
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Multisensor Fusion for Volumetric Reconstruction of Large Outdoor Areas
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Real-Time Median Filtering for Embedded Smart Cameras
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Probabilistic vehicular trace reconstruction based on RF-Visual data fusion
CMS'10 Proceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
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In this paper a system is presented able to reproduce the actions of multiple moving objects into a 3D model. A multi-camera system is used for automatically detect, track and classify the objects. Data fusion from multiple sensors allows to get a more precise estimation of the position of detected moving objects and to solve occlusions problem. These data are then used to automatically place and animate objects avatars in a 3D virtual model of the scene, thus allowing users connected to this system to receive a 3D guide into the monitored environment.