140 search results - page 3 / 28 » An Unsupervised Framework for Action Recognition Using Actem... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
AVSS
2003
IEEE
14 years 20 days ago
2003
IEEE
We present an action recognition method based on the concept of reliable inference. Our approach is formulated in a probabilistic framework using posterior class ratios to verify ...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
In this paper a framework “Temporal-Vector Trajectory Learning” (TVTL) for human action recognition is proposed. In this framework, the major concept is that we would like to a...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Visual codebook has been popular in object classification as well as action analysis. However, its performance is often sensitive to the codebook size that is usually predefined. ...