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CVPR
2008
IEEE
10 years 4 months ago
Pose primitive based human action recognition in videos or still images
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. ...
Christian Thurau, Václav Hlavác
CVPR
2008
IEEE
10 years 4 months ago
Action recognition with motion-appearance vocabulary forest
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...
Krystian Mikolajczyk, Hirofumi Uemura
SCIA
2009
Springer
132views Image Analysis» more  SCIA 2009»
10 years 4 months ago
Instant Action Recognition
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 ...
Thomas Mauthner, Peter M. Roth, Horst Bischof
ACCV
2009
Springer
10 years 4 months ago
Human Action Recognition Using Spatio-temporal Classification
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...
Chin-Hsien Fang, Ju-Chin Chen, Chien-Chung Tseng, ...
ICPR
2010
IEEE
10 years 4 months ago
Co-recognition of Actions in Video Pairs
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...
Young Min Shin (Seoul National University), Minsu ...
WACV
2005
IEEE
10 years 5 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
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...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos

Publication
195views
10 years 5 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
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...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos

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RaptisStudent, PhD
UCLA
Raptis
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
10 years 10 months ago
Recognizing Human Actions: A Local SVM Approach
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...
Christian Schüldt, Ivan Laptev, Barbara Caput...
CVPR
2007
IEEE
10 years 11 months ago
Spatio-temporal Shape and Flow Correlation for Action Recognition
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...
Yan Ke, Rahul Sukthankar, Martial Hebert
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