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CVPR
2008
IEEE
13 years 11 months ago
View and scale invariant action recognition using multiview shape-flow models
Actions in real world applications typically take place in cluttered environments with large variations in the orientation and scale of the actor. We present an approach to simult...
Pradeep Natarajan, Ram Nevatia
CVPR
2010
IEEE
13 years 10 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
ECCV
2006
Springer
13 years 8 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...
ICMCS
2009
IEEE
133views Multimedia» more  ICMCS 2009»
13 years 2 months ago
View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation
In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The bi...
Nikolaos Gkalelis, Nikos Nikolaidis, Ioannis Pitas
CVPR
2008
IEEE
14 years 6 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah