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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
ICIP
2009
IEEE
14 years 5 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...
ICPR
2010
IEEE
13 years 10 months ago
Pairwise Features for Human Action Recognition
Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geo...
Anh Phuong Ta, Christian Wolf, Guillaume Lavoue, A...
CVPR
2003
IEEE
14 years 6 months ago
View Invariants for Human Action Recognition
This paper presents two approaches for the representation and recognition of human action in video, aiming for viewpoint invariance. The paper first presents new results using a 2...
Vasu Parameswaran, Rama Chellappa
ACCV
2009
Springer
13 years 11 months ago
Human Action Recognition Using Pyramid Vocabulary Tree
The bag-of-visual-words (BOVW) approaches are widely used in human action recognition. Usually, large vocabulary size of the BOVW is more discriminative for inter-class action clas...
Chunfeng Yuan, Xi Li, Weiming Hu, Hanzi Wang