76 search results - page 9 / 16 » Recognizing realistic actions from videos |
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Feature trajectories have shown to be efficient for representing videos. Typically, they are extracted using the KLT tracker or matching SIFT descriptors between frames. However,...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
CVPR
2010
IEEE
2010
IEEE
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
14 years 5 months ago
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
MM
2005
ACM
14 years 2 months ago
2005
ACM
In this paper, we propose a structure and components of a conversational television set(TV) to which we can ask anything on the broadcasted contents and receive the interesting in...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...