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IJCV
2008
106views more  IJCV 2008»
13 years 4 months ago
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
Juan Carlos Niebles, Hongcheng Wang, Fei-Fei Li 00...
ACCV
2009
Springer
13 years 11 months ago
Human Action Recognition Using HDP by Integrating Motion and Location Information
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
Yasuo Ariki, Takuya Tonaru, Tetsuya Takiguchi
CVPR
2007
IEEE
14 years 6 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
CVPR
2010
IEEE
14 years 1 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
PAMI
2012
11 years 7 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona