Retrieving Similar Movements in Motion Capture Data
| Authors | |
|---|---|
| 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 | |
| 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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