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.

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: James W. Davis, Hui Gao
• Keywords: Computer Vision, ICCV 2003, Person Carrying Bags, Three-mode Principal Components