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3D human motion sequences synchronization using dense matching algorithm

AuthorsMozerov, Mikhail; Rius, Ignasi; Roca, F. Xavier; Gonzàlez, Jordi
KeywordsPattern recognition: Computer vision
Computer vision
Issue Date2006
Citation28th Annual Symposium of the German Association for Pattern Recognition: pp. 485-494 (2006)
AbstractThis work solves the problem of synchronizing pre-recorded human motion sequences, which show different speeds and accelerations, by using a novel dense matching algorithm. The approach is based on the dynamic programming principle that allows finding an optimal solution very fast. Additionally, an optimal sequence is automatically selected from the input data set to be a time scale pattern for all other sequences. The synchronized motion sequences are used to learn a model of human motion for action recognition and full-body tracking purposes.
DescriptionAnnual Symposium of the German Association for Pattern Recognition (DAGM), 2006, Berlin (Germany)
Appears in Collections:(IRII) Comunicaciones congresos
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