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» Human Action Recognition Using Segmented Skeletal Features
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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...
JCP
2008
162views more  JCP 2008»
13 years 7 months ago
Shape Recognition by Clustering and Matching of Skeletons
We perform the task of shape recognition using a skeleton based method. Skeleton of the shape is considered as a free tree and is represented by a connectivity graph. Geometric fea...
Hamidreza Zaboli, Mohammad Rahmati, Abdolreza Mirz...
AMDO
2006
Springer
13 years 11 months ago
Action Recognition Using Motion Primitives and Probabilistic Edit Distance
In this paper we describe a recognition approach based on the notion of primitives. As opposed to recognizing actions based on temporal trajectories or temporal volumes, primitive-...
Preben Fihl, Michael B. Holte, Thomas B. Moeslund,...
ICCV
2011
IEEE
11 years 11 months ago
Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories
Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object detection and object ...
Shandong Wu, Omar Oreifej, and Mubarak Shah
CVPR
2010
IEEE
14 years 3 months ago
A Hough Transform-Based Voting Framework for Action Recognition
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
Angela Yao, Juergen Gall, Luc Van Gool