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» Learning to Track with Multiple Observers
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CRV
2009
IEEE
139views Robotics» more  CRV 2009»
13 years 5 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau
CVPR
2010
IEEE
13 years 10 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
PAMI
2010
248views more  PAMI 2010»
13 years 6 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
ICCV
2007
IEEE
13 years 9 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
CDC
2009
IEEE
152views Control Systems» more  CDC 2009»
13 years 8 months ago
Speed synchronization of multiple induction motors with adjacent cross coupling control
In this paper, a new control approach for real time speed synchronization of multiple induction motors during speed acceleration and load changes is developed. The control strategy...
Dezong Zhao, Chunwen Li, Jun Ren