245 search results - page 6 / 49 » A Computational Model for Motion Detection and Direction Dis... |
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...
IJCV
2008
13 years 8 months ago
2008
Abstract We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our ...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
CSIE
2009
IEEE
14 years 3 months ago
2009
IEEE
This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
SUTC
2006
IEEE
14 years 2 months ago
2006
IEEE
We examine the problem of detecting the direction of motion in a binary sensor network; in such a network each sensor’s value is supplied reliably in a single bit of information...