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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Variations of a Hough-Voting Action Recognition System
verfasst von : Daniel Waltisberg, Angela Yao, Juergen Gall, Luc Van Gool
Erschienen in: Recognizing Patterns in Signals, Speech, Images and Videos
Verlag: Springer Berlin Heidelberg
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This paper presents two variations of a Hough-voting framework used for action recognition and shows classification results for low-resolution video and videos depicting human interactions. For low-resolution videos, where people performing actions are around 30 pixels, we adopt low-level features such as gradients and optical flow. For group actions with human-human interactions, we take the probabilistic action labels from the Hough-voting framework for single individuals and combine them into group actions using decision profiles and classifier combination.