Segmenting trajectories: A framework and algorithms using spatiotemporal criteria

In this paper we address the problem of segmenting a trajectory based on spatiotemporal criteria. We require that each segment is homogeneous in the sense that a set of spatiotemporal criteria are fulfilled. We define different such criteria, including location, heading, speed, velocity, curvature,...

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Main Authors: Maike Buchin, Anne Driemel, Marc van Kreveld, Vera Sacristan
Format: Article
Language:English
Published: University of Maine 2011-12-01
Series:Journal of Spatial Information Science
Subjects:
Online Access:http://josis.org/index.php/josis/article/view/66
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author Maike Buchin
Anne Driemel
Marc van Kreveld
Vera Sacristan
author_facet Maike Buchin
Anne Driemel
Marc van Kreveld
Vera Sacristan
author_sort Maike Buchin
collection DOAJ
description In this paper we address the problem of segmenting a trajectory based on spatiotemporal criteria. We require that each segment is homogeneous in the sense that a set of spatiotemporal criteria are fulfilled. We define different such criteria, including location, heading, speed, velocity, curvature, sinuosity, curviness, and shape. We present an algorithmic framework that allows us to segment any trajectory into a minimum number of segments under any of these criteria, or any combination of these criteria. In this framework, a segmentation can generally be computed in O(n log n) time, where n is the number of edges of the trajectory to be segmented. We also discuss the robustness of our approach.
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spelling doaj.art-bf7a8dd5f66b4546a20471bd072126972022-12-21T17:46:02ZengUniversity of MaineJournal of Spatial Information Science1948-660X2011-12-0120113336310.5311/JOSIS.2011.3.6652Segmenting trajectories: A framework and algorithms using spatiotemporal criteriaMaike Buchin0Anne Driemel1Marc van Kreveld2Vera Sacristan3TU EindhovenUtrecht UniversityUtrecht UniversityUniversitat Polit\`ecnica de CatalunyaIn this paper we address the problem of segmenting a trajectory based on spatiotemporal criteria. We require that each segment is homogeneous in the sense that a set of spatiotemporal criteria are fulfilled. We define different such criteria, including location, heading, speed, velocity, curvature, sinuosity, curviness, and shape. We present an algorithmic framework that allows us to segment any trajectory into a minimum number of segments under any of these criteria, or any combination of these criteria. In this framework, a segmentation can generally be computed in O(n log n) time, where n is the number of edges of the trajectory to be segmented. We also discuss the robustness of our approach.http://josis.org/index.php/josis/article/view/66spatial and spatiotemporal information systemscomputational geometrymoving objects analysistrajectory analysissegmentation
spellingShingle Maike Buchin
Anne Driemel
Marc van Kreveld
Vera Sacristan
Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
Journal of Spatial Information Science
spatial and spatiotemporal information systems
computational geometry
moving objects analysis
trajectory analysis
segmentation
title Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
title_full Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
title_fullStr Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
title_full_unstemmed Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
title_short Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
title_sort segmenting trajectories a framework and algorithms using spatiotemporal criteria
topic spatial and spatiotemporal information systems
computational geometry
moving objects analysis
trajectory analysis
segmentation
url http://josis.org/index.php/josis/article/view/66
work_keys_str_mv AT maikebuchin segmentingtrajectoriesaframeworkandalgorithmsusingspatiotemporalcriteria
AT annedriemel segmentingtrajectoriesaframeworkandalgorithmsusingspatiotemporalcriteria
AT marcvankreveld segmentingtrajectoriesaframeworkandalgorithmsusingspatiotemporalcriteria
AT verasacristan segmentingtrajectoriesaframeworkandalgorithmsusingspatiotemporalcriteria