Human action recognition and localization in video using structured learning of local space-time features

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
2010 Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010, pp. 204 - 211
Issue Date:
2010-01
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This paper presents a unified framework for human action classification and localization in video using structured learning of local space-time features. Each human action class is represented by a set of its own compact set of local patches. In our appr
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