Finding REMO — Detecting Relative Motion Patterns in Geospatial Lifelines

作者: Patrick Laube , Marc van Kreveld , Stephan Imfeld

DOI: 10.1007/3-540-26772-7_16

关键词:

摘要: Technological advances in position aware devices increase the availability of tracking data everyday objects such as animals, vehicles, people or football players. We propose a geographic mining approach to detect generic aggregation patterns flocking behaviour and convergence geospatial lifeline data. Our considers object’s motion properties an analytical space well spatial constraints lifelines space. discuss geometric formalised with respect their efficient computation.

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