Presentation 2005-07-14
An Incremental Histogram Management Method for Moving Trajectory Stream Data
Yoji MACHIDA, Yoshiharu ISHIKAWA, Hiroyuki KITAGAWA,
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Abstract(in English) With the recent progress of spatial information technologies and communication technologies, it becomes easy to track trajectories of many moving objects in real-time. To use obtained moving object trajectories for the analysis and prediction, we need to accumulate given trajectory streams in an efficient and accurate manner. For this purpose, we propose a mobility histogram construction method based on the Markov chain model. The histogram is physically represented as a tree structure and represents movement patterns in multiple granularities. When a new trajectory sequence is obtained, it updates the histogram structure incrementally. We also evaluate processing time in middle-node contained counter for stationary state.
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Keyword(in English) mobility histogram / movement patterns / Markov chain model / incremental processing
Paper # DE2005-68
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Committee DE
Conference Date 2005/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Incremental Histogram Management Method for Moving Trajectory Stream Data
Sub Title (in English)
Keyword(1) mobility histogram
Keyword(2) movement patterns
Keyword(3) Markov chain model
Keyword(4) incremental processing
1st Author's Name Yoji MACHIDA
1st Author's Affiliation Master's Program in Science and Engineering, University of Tsukuba()
2nd Author's Name Yoshiharu ISHIKAWA
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba
Date 2005-07-14
Paper # DE2005-68
Volume (vol) vol.105
Number (no) 172
Page pp.pp.-
#Pages 6
Date of Issue