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Reporting leadership patterns among trajectories
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Advances in spatial and image-based information systems table of contents
Pages: 3 - 7  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Mattias Andersson  Lund University, Sweden
Joachim Gudmundsson  NICTA, Sydney, Australia
Patrick Laube  University of Auckland, New Zealand
Thomas Wolle  NICTA, Sydney, Australia
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects, opening new options for a better understanding of the processes involved. In this paper we investigate spatio-temporal movement patterns in large tracking data sets. We present a natural definition of the pattern 'one object is leading others', and discuss how such leadership patterns can be computed from a group of moving entities. The proposed definition is based on behavioural patterns discussed in the behavioural ecology literature. We also present several algorithms for computing the pattern, and they are analysed both theoretically and experimentally.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Mattias Andersson: colleagues
Joachim Gudmundsson: colleagues
Patrick Laube: colleagues
Thomas Wolle: colleagues