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» Learning to Track with Multiple Observers
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VIIP
2001
13 years 9 months ago
Automatic Tracking of Multiple Pedestrians with Group Formation and Occlusions
This work addresses the problem of automatic tracking of pedestrians observed by a fixed camera in outdoor scenes. Tracking isolated pedestrians is not a difficult task. The chall...
Pedro Mendes Jorge, Arnaldo J. Abrantes, Jorge S. ...
CDC
2008
IEEE
14 years 2 months ago
Controllability and observability of leader-based multi-agent systems
— In this work we analyze the controllability and observability properties of several interconnection configurations such as the chain topology and cyclic topology as well as co...
Rogelio Lozano, Mark W. Spong, Jose Alfredo Guerre...
ICCV
2007
IEEE
14 years 9 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ICCV
2007
IEEE
14 years 9 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury
CVPR
2011
IEEE
13 years 3 months ago
Learning Temporally Consistent Rigidities
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
Jean-Sebastien Franco, Edmond Boyer