Periodic stops discovery through density-based trajectory segmentation
Fatima Hachem, Maria Luisa Damiani · 2018
Stop-and-move is a popular mobility pattern describing the behavior of an object alternating periods of relative stationarity (stops) with periods of mobility (move). In this demo, we present a system supporting the discovery of periodic stops in regions with uncertain boundaries, such as the animal home-ranges and the attraction areas in a city. This system is built on recent results showing the effectiveness of a density-based trajectory segmentation technique for the discovery of derived patterns defined in terms of stops with noise. This demo illustrates the architecture developed on top of the existing MigrO platform, and exemplifies the periodic stop discovery process on real data about birds migration.