102 search results - page 10 / 21 » Extrapolating Learned Manifolds for Human Activity Recogniti... |
CVPR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are estimated from videos. ...
102
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Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
98
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ECCV
2010
Springer
15 years 28 days ago
2010
Springer
Abstract. Much recent research in human activity recognition has focused on the problem of recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up...
80
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KI
2007
Springer
15 years 3 months ago
2007
Springer
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...