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IJCV
1998
163views more  IJCV 1998»
13 years 8 months ago
CONDENSATION - Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
Michael Isard, Andrew Blake
ICASSP
2011
IEEE
13 years 4 days 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
ECCV
2008
Springer
14 years 10 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
ICIP
2005
IEEE
14 years 10 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
ICRA
2007
IEEE
174views Robotics» more  ICRA 2007»
14 years 2 months ago
Full Motion Tracking in Ultrasound Using Image Speckle Information and Visual Servoing
— This paper presents a new visual servoing method that is able to stabilize a moving area of soft tissue within an ultrasound B-mode imaging plane. The approach consists of movi...
Alexandre Krupa, Gabor Fichtinger, Gregory D. Hage...