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Hierarchical spatio-temporal context modeling for action recognition
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limited due to the use of simplified action databases under controlled environments or focus on excessively localized features without sufficiently encapsulating the spatiotemporal context. In this paper, we propose to model the spatio-temporal context information in a hierarchical way, where three levels of context are
doi:10.1109/cvprw.2009.5206721
fatcat:d2qg4be4czfwdbznw7x7oruwum