40 search results - page 5 / 8 » Transductive inference for color-based particle filter track... |
AMDO
2006
Springer
13 years 11 months ago
2006
Springer
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
IJCV
2008
13 years 7 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
AAAI
2004
13 years 9 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
NIPS
2004
13 years 9 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...