Informace o publikaci

Retrieving Similar Movements in Motion Capture Data



Rok publikování 2013
Druh Článek ve sborníku
Konference 6th International Conference on Similarity Search and Applications (SISAP 2013), LNCS 8199
Fakulta / Pracoviště MU

Fakulta informatiky

Obor Informatika
Klíčová slova motion capture data; motion retrieval; subsequence retrieval; similar sub-motions
Popis Efficient and effective similarity retrieval in large human motion databases is valuable in many fields such as computer animation, security research, sports, and medicine. This demonstration paper presents a content-based retrieval system that is able to examine database motions and locate all their sub-motions similar to a query motion example. The proposed system does not require any textual annotations nor explicit knowledge of the data and can deal with spatio-temporal variances of individual human motions. The system is presented as an online web application indexing a real-life 68-minute human motion database.
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