223 search results - page 26 / 45 » Eye Tracking Using Markov Models |
ICCV
1998
IEEE
14 years 9 months ago
1998
IEEE
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
AVSS
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking o...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...