Discovering loose group movement patterns from animal trajectories

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Abstract

The technical advances of positioning technologies enable us to track animal movements at finer spatial and temporal scales, and further help to discover a variety of complex interactive relationships. In this paper, considering the loose gathering characteristics of the real-life groups' members during the movements, we propose two kinds of loose group movement patterns and corresponding discovery algorithms. Firstly, we propose the weakly consistent group movement pattern which allows the gathering of a part of the members and individual temporary leave from the whole during the movements. To tolerate the high dispersion of the group at some moments (i.e. to adapt the discontinuity of the group's gatherings), we further scheme the weakly consistent and continuous group movement pattern. The extensive experimental analysis and comparison with the real and synthetic data shows that the group pattern discovery algorithms proposed in this paper are similar to the the real-life frequent divergences of the members during the movements, can discover more complete memberships, and have considerable performance.

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Discovering loose group movement patterns from animal trajectories
DOI 10.1109/eScience.2015.30
Year Published 2015
Language English
Publisher IEEE
Contributing office(s) Patuxent Wildlife Research Center
Description 11 p.
Larger Work Type Conference Paper
Larger Work Subtype Conference Paper
Larger Work Title 2015 IEEE 11th International Conference on e-Science
First page 196
Last page 206
Conference Title 2015 IEEE 11th International Conference on e-Science
Conference Location Munich, Germany
Conference Date August 31, 2015
Online Only (Y/N) N
Additional Online Files (Y/N) N