Retrieving Similar Movements in Motion Capture Data

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Authors

SEDMIDUBSKÝ Jan VALČÍK Jakub

Year of publication 2013
Type Article in Proceedings
Conference 6th International Conference on Similarity Search and Applications (SISAP 2013), LNCS 8199
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1007/978-3-642-41062-8_33
Field Informatics
Keywords motion capture data; motion retrieval; subsequence retrieval; similar sub-motions
Description 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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