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ICASSP
2011
IEEE
12 years 8 months ago
Hierarchical Latent Dirichlet Allocation models for realistic action recognition
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
Heping Li, Jie Liu, Shuwu Zhang
CVPR
2008
IEEE
14 years 7 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...
IJCV
2010
217views more  IJCV 2010»
13 years 3 months ago
Volumetric Features for Video Event Detection
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segm...
Yan Ke, Rahul Sukthankar, Martial Hebert
TCSV
2008
143views more  TCSV 2008»
13 years 4 months ago
High-Speed Action Recognition and Localization in Compressed Domain Videos
We present a compressed domain scheme that is able to recognize and localize actions in real-time1 . The recognition problem is posed as performing an action video query on a test ...
Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, S...
CVIU
2006
171views more  CVIU 2006»
13 years 5 months ago
Free viewpoint action recognition using motion history volumes
Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
Daniel Weinland, Rémi Ronfard, Edmond Boyer