Discovering geospatial networks from ambiguous track data

James E. Bevington; Michael R. Evans; Shashi Shekhar

doi:10.1117/12.887007

23 May 2011 Discovering geospatial networks from ambiguous track data

James E. Bevington, Michael R. Evans, Shashi Shekhar

Author Affiliations +

Proceedings Volume 8062, Defense Transformation and Net-Centric Systems 2011; 80620K (2011) https://doi.org/10.1117/12.887007
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

James E. Bevington, Michael R. Evans, and Shashi Shekhar "Discovering geospatial networks from ambiguous track data", Proc. SPIE 8062, Defense Transformation and Net-Centric Systems 2011, 80620K (23 May 2011); https://doi.org/10.1117/12.887007

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