Comparison of User Trajectories Based on Coordinate Data and State Transitions
(NOTE: Sheng-Wei Chen is also known as Kuan-Ta Chen.)
At present, one can acquire a great deal of trajectory
data as positioning technology has prevailed and become
sophisticated. In accordance with this fact, data mining
technology for extracting important information and knowledge
from trajectory data is gaining recognition. Clustering of
trajectories and giving meanings to movements are active areas
of research. In this paper, we focus on the Markov chain model
for representing trajectory data and propose a method for
defining states that can cope with the distinguished characteristic
of each trajectory and a method for comparing trajectories
transitioning over different sets of states in the Markov chain
model. From an experiment using real trajectory data, we
confirm the advantage of the proposed approach over others.
Junichi Oda, Ruck Thawonmas, and Kuan-Ta Chen, "Comparison of User Trajectories Based on Coordinate Data and State Transitions," In Proceedings of IEEE IIHMSP 2009, 2009.
@INPROCEEDINGS{oda09:trajectory,
AUTHOR = {Junichi Oda and Ruck Thawonmas and Kuan-Ta Chen},
TITLE = {Comparison of User Trajectories Based on Coordinate Data and State Transitions},
BOOKTITLE = {Proceedings of IEEE IIHMSP 2009},
YEAR = {2009}
}
AUTHOR = {Junichi Oda and Ruck Thawonmas and Kuan-Ta Chen},
TITLE = {Comparison of User Trajectories Based on Coordinate Data and State Transitions},
BOOKTITLE = {Proceedings of IEEE IIHMSP 2009},
YEAR = {2009}
}
