TY - GEN
T1 - Hierarchical indexing structure for 3d human motions
AU - Pradhan, Gaurav N.
AU - Li, Chuanjun
AU - Prabhakaran, Balakrishnan
PY - 2007
Y1 - 2007
N2 - Content-based retrieval of 3D human motion capture data has significant impact in different fields such as physical medicine, rehabilitation, and animation. This paper develops an efficient indexing approach for 3D motion capture data, supporting queries involving both sub-body motions (e.g., Find similar knee motions) as well as whole-body motions. The proposed indexing structure is based on the hierarchical structure of the human body segments consisting of independent index trees corresponding to each sub-part of the body. Each level of every index tree is associated with the weighted feature vectors of a body segment and supports queries on sub-body motions and also on whole-body motions. Experiments show that up to 97% irrelevant motions can be pruned for any kind of motion query while retrieving all similar motions, and one traversal of the index structure through all index trees takes on an average 15 μsec with the existence of motion variations
AB - Content-based retrieval of 3D human motion capture data has significant impact in different fields such as physical medicine, rehabilitation, and animation. This paper develops an efficient indexing approach for 3D motion capture data, supporting queries involving both sub-body motions (e.g., Find similar knee motions) as well as whole-body motions. The proposed indexing structure is based on the hierarchical structure of the human body segments consisting of independent index trees corresponding to each sub-part of the body. Each level of every index tree is associated with the weighted feature vectors of a body segment and supports queries on sub-body motions and also on whole-body motions. Experiments show that up to 97% irrelevant motions can be pruned for any kind of motion query while retrieving all similar motions, and one traversal of the index structure through all index trees takes on an average 15 μsec with the existence of motion variations
UR - http://www.scopus.com/inward/record.url?scp=84878589408&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69423-6_38
DO - 10.1007/978-3-540-69423-6_38
M3 - Conference contribution
AN - SCOPUS:84878589408
SN - 9783540694212
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 386
EP - 396
BT - Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
T2 - 13th International Multimedia Modeling Conference, MMM 2007
Y2 - 9 January 2007 through 12 January 2007
ER -
