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ICCV
2003
IEEE

Recognizing Human Action Efforts: An Adaptive Three-Mode PCA Framework

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Recognizing Human Action Efforts: An Adaptive Three-Mode PCA Framework
We present a computational framework capable of labeling the effort of an action corresponding to the perceived level of exertion by the performer (low ? high). The approach initially factorizes examples (at different efforts) of an action into its three-mode principal components to reduce the dimensionality. Then a learning phase is introduced to compute expressive-feature weights to adjust the model's estimation of effort to conform to given perceptual labels for the examples. Experiments are demonstrated recognizing the efforts of a person carrying bags of different weight and for multiple people walking at different paces.
James W. Davis, Hui Gao
Added 15 Oct 2009
Updated 31 Oct 2009
Type Conference
Year 2003
Where ICCV
Authors James W. Davis, Hui Gao
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