CVPR
2008
IEEE
14 years 7 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. ...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
SCIA
2009
Springer
14 years 7 months ago
2009
Springer
In this paper, we present an efficient system for action recognition from very short sequences. For action recognition typically appearance and/or motion information of an action ...
ACCV
2009
Springer
14 years 7 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...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper, we present a method that recognizes single or multiple common actions between a pair of video sequences. We establish an energy function that evaluates geometric and...
WACV
2005
IEEE
14 years 8 months ago
2005
IEEE
To facilitate accurate and efficient detection of motion
patterns in video data, it is desirable to abstract from pixel
intensity values to representations that explicitly and co...
Publication
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel
intensity values towards representations that explicitly and compactly ca...
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posts
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812
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I am a fourth year Ph.D. student in Computer Science Department of UCLA, member of VisionLab and my advisor is Prof. Stefano Soatto.
Previously, I did my undergraduate studies at ...
ICPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such fe...
CVPR
2007
IEEE
15 years 2 months ago
2007
IEEE
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been autom...