Discovering geo-spatial networks from ambiguous track data

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationDefense Transformation and Net-Centric Systems 2011
StatePublished - Jun 27 2011
EventDefense Transformation and Net-Centric Systems 2011 - Orlando, FL, United States
Duration: Apr 27 2011Apr 28 2011


OtherDefense Transformation and Net-Centric Systems 2011
CountryUnited States
CityOrlando, FL


  • Geo-spatial networks
  • Persistent surveillance
  • Track linking
  • Tracklets
  • WAMI
  • Wide area motion imagery

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