Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICSMC.2010.5641969 | Systems Man and Cybernetics |
Keywords | Field | DocType |
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,Clustering,Multiscale comparison,Temporal data mining,Trajectories | Curvature,Computational geometry,Artificial intelligence,Curvature scale space,Matched filter,Cluster analysis,Maxima,Pattern matching,Machine learning,Mathematics,Trajectory | Conference |
ISSN | ISBN | Citations |
1062-922X | 978-1-4244-6586-6 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shusaku Tsumoto | 1 | 1820 | 294.19 |
| Shoji Hirano | 2 | 560 | 99.17 |