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Proceedings Paper

Discovering geospatial networks from ambiguous track data
Author(s): James E. Bevington; Michael R. Evans; Shashi Shekhar
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Paper Abstract

Wide area motion imagery (WAMI) sensors increasingly are being used for persistent surveillance of large urban areas. One of the potential uses for such surveillance is the discovery of geo-spatial networks, which are sets of locations linked by repeated traffic flow over an extended period of time. In this work we present a simple method of deriving geo-spatial network links automatically from ambiguous track segments or tracklets. The method avoids making explicit tracklet linking decisions and relies on temporal aggregation to identify the persistent origin-destination location pairs. We present experimental network discovery results using simulated high density track data for a downtown urban setting.

Paper Details

Date Published: 23 May 2011
PDF: 7 pages
Proc. SPIE 8062, Defense Transformation and Net-Centric Systems 2011, 80620K (23 May 2011); doi: 10.1117/12.887007
Show Author Affiliations
James E. Bevington, General Dynamics Advanced Information Systems (United States)
Michael R. Evans, Univ. of Minnesota, Twin Cities (United States)
Shashi Shekhar, Univ. of Minnesota, Twin Cities (United States)

Published in SPIE Proceedings Vol. 8062:
Defense Transformation and Net-Centric Systems 2011
Raja Suresh, Editor(s)

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