Efficient Detection of Patterns in 2D Trajectories of Moving Points

Joachim Gudmundsson, Marc van Kreveld, Bettina Speckmann
2007 Geoinformatica  
Moving point object data can be analyzed through the discovery of patterns in trajectories. We consider the computational efficiency of detecting four such spatio-temporal patterns, namely flock, leadership, convergence, and encounter, as defined by Laube et al., Finding REMO-detecting relative motion patterns in geospatial lifelines, 201-214, (2004). These patterns are large enough subgroups of the moving point objects that exhibit similar movement in the sense of direction, heading for the
more » ... e location, and/or proximity. By the use of techniques from computational geometry, including approximation algorithms, we improve the running time bounds of existing algorithms to detect these patterns.
doi:10.1007/s10707-006-0002-z fatcat:svcbdvqiovh6bht5ncz37w35em