434 search results - page 4 / 87 » Probabilistic Motion Sequence Generation |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
NIPS
2001
13 years 8 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
ICCV
1998
IEEE
14 years 9 months ago
1998
IEEE
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...