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» Recognizing and Tracking Human Action
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FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
14 years 3 months ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
ICPR
2010
IEEE
14 years 3 months ago
RBM-Based Silhouette Encoding for Human Action Modelling
—In this paper we evaluate the use of Restricted Bolzmann Machines (RBM) in the context of learning and recognizing human actions. The features used as basis are binary silhouett...
Manuel Jesus Marin-Jimenez, Nicolas Perez De La Bl...
CVPR
2009
IEEE
15 years 5 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
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...
Yang Wang 0003, Greg Mori
ECCV
2006
Springer
14 years 1 months ago
View-Invariant Modeling and Recognition of Human Actions Using Grammars
In this paper, we represent human actions as short sequences of atomic body poses. The knowledge of body pose is stored only implicitly as a set of silhouettes seen from multiple ...
Abhijit S. Ogale, Alap Karapurkar, Yiannis Aloimon...
CHI
2004
ACM
14 years 10 months ago
Human-robot speech interface understanding inexplicit utterances using vision
Speech interfaces should have a capability of dealing with inexplicit utterances including such as ellipsis and deixis since they are common phenomena in our daily conversation. T...
Zaliyana Mohd Hanafiah, Chizu Yamazaki, Akio Nakam...