DocumentCode
3181759
Title
Three dimensional trajectories mining
Author
Tsumoto, Shusaku ; Hirano, Shoji
Author_Institution
Dept. of Med. Inf., Shimane Univ., Izumo, Japan
fYear
2010
fDate
10-13 Oct. 2010
Firstpage
500
Lastpage
505
Abstract
In this paper, we propose a multiscale comparison method for three-dimensional trajectories based on the maxima on the curvature scale space. We define a segment as a partial trajectory between two adjacent maxima where curvature becomes locally maximal. Then we trace the place of maxima across the scales in order to obtain the hierarchy of segments. By applying segment-based matching technique, we obtain the best correspondences between partial trajectories. We demonstrate in a preliminary experiment that our method could successfully capture structural similarity in three-dimensional trajectories.
Keywords
computational geometry; data mining; medical information systems; pattern clustering; pattern matching; curvature scale; data clustering; segment based matching; temporal data mining; three dimensional trajectory mining; Matched filters; Trajectory; Clustering; Multiscale comparison; Temporal data mining; Trajectories;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1062-922X
Print_ISBN
978-1-4244-6586-6
Type
conf
DOI
10.1109/ICSMC.2010.5641969
Filename
5641969
Link To Document