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BMVC
2002
15 years 2 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
JMM2
2006
219views more  JMM2 2006»
14 years 12 months ago
Fully Automatic Real-Time 3D Object Tracking using Active Contour and Appearance Models
This paper presents an efficient, robust and fully automatic real-time system for 3D object pose tracking in image sequences. The developed application integrates two main componen...
Giorgio Panin, Alois Knoll
ICPR
2010
IEEE
14 years 9 months ago
Object Tracking with Ratio Cycles Using Shape and Appearance Cues
We present a method for object tracking over time sequence imagery. The image plane is represented with a 4-connected planar graph where vertices are associated with pixels. On ea...
Mehmet Emre Sargin, Pratim Ghosh, B. S. Manjunath,...
ICCV
2005
IEEE
16 years 1 months ago
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
David Demirdjian, Leonid Taycher, Gregory Shakhnar...
ECCV
1992
Springer
16 years 1 months ago
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically signi cant...
Michael J. Black