Title: Skeleton-based temporal segmentation of human activities from video sequences
Authors: Quirion, Sébastien
Branzan-Albu, Alexandra
Bergevin, Robert
Citation: WSCG '2005: Short Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, p. 145-148.
Issue Date: 2005
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf
ISBN: 80-903100-9-5
Keywords: porozumění videu;analýza pohybu;analýza periodicity;segmentace signálu;datová fúze
Keywords in different language: video understanding;motion analysis;periodicity analysis;signal segmentation;data fusion
Abstract: This paper presents a new multi-step, skeleton-based approach for the temporal segmentation of human activities from video sequences. Several signals are first extracted from a skeleton sequence. These signals are then segmented individually to localize their cyclic segments. Finally, all individual segmentations are merged with respect to the global set of signals. Our approach requires no prior knowledge on human activities and can use any generic stick-model. Two different techniques for signal segmentation and for the fusion of the individual segmentations are proposed and tested on a database of fifteen video sequences of variable level of complexity.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2005: Short Papers

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11230

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