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CVPR
2008
IEEE
14 years 9 months ago
Learning realistic human actions from movies
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Be...
ICCV
2005
IEEE
14 years 9 months ago
Actions as Space-Time Shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes...
Moshe Blank, Lena Gorelick, Eli Shechtman, Michal ...
CVPR
2012
IEEE
11 years 10 months ago
Discriminative virtual views for cross-view action recognition
We propose an approach for cross-view action recognition by way of ‘virtual views’ that connect the action descriptors extracted from one (source) view to those extracted from...
Ruonan Li, Todd Zickler
ICCV
2009
IEEE
15 years 20 days ago
Detection of Human Actions From A Single Example
We present an algorithm for detecting human actions based upon a single given video example of such actions. The proposed method is unsupervised, does not require learning, segm...
Hae Jong Seo, Peyman Milanfar
CVPR
2007
IEEE
14 years 9 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