Homotopy Measures for Representative Trajectories

An important task in trajectory analysis is defining a meaningful representative for a set of similar trajectories. How to formally define and find such a representative is a challenging problem. We propose and discuss two possible definitions. In both definitions we use only the geometry of the trajectories, that is, no temporal information is required, and measure the quality of the representative using the homotopy area between the representative and the input trajectories. Computing an optimal representative turns out to be NP-hard for one of the definitions, whereas the other definition allows efficient algorithms for a reasonable class of input trajectories.


slides
keywords: Computational Geometry, Geographical Information Analysis, Trajectories

Conference Proceedings (peer-reviewed)

Erin W. Chambers, Frank Staals, Irina Kostitsyna, Maarten Löffler
Homotopy Measures for Representative Trajectories
Proc. 24th European Symposium on Algorithms
LIPIcs, 57, 27:1–27:17, 2016
http://drops.dagstuhl.de/opus/volltexte/2016/6378

Workshop or Poster (weakly reviewed)

Erin W. Chambers, Frank Staals, Irina Kostitsyna, Maarten Löffler
Homotopy Measures for Representative Trajectories
Proc. 31st European Workshop on Computational Geometry
125–128, 2015

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