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» Novel Observation Model for Probabilistic Object Tracking
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ICASSP
2011
IEEE
12 years 11 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
ICRA
1998
IEEE
111views Robotics» more  ICRA 1998»
13 years 12 months ago
Weighting Observations: The Use of Kinematic Models in Object Tracking
We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. ...
Kevin Nickels, Seth Hutchinson
SIGDIAL
2010
13 years 5 months ago
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
CVIU
2008
179views more  CVIU 2008»
13 years 7 months ago
Incremental, scalable tracking of objects inter camera
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...
Andrew Gilbert, Richard Bowden
ICIP
2001
IEEE
14 years 9 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas