Geolocating static cameras

Nathan Jacobs, Scott Satkin, Nathaniel Roman, Richard Speyer, Robert Pless

Research output: Contribution to conferencePaperpeer-review

93 Scopus citations


A key problem in widely distributed camera networks is geolocating the cameras. This paper considers three scenarios for camera localization: localizing a camera in an unknown environment, adding a new camera in a region with many other cameras, and localizing a camera by finding correlations with satellite imagery. We find that simple summary statistics (the time course of principal component coefficients) are sufficient to geolocate cameras without determining correspondences between cameras or explicitly reasoning about weather in the scene. We present results from a database of images from 538 cameras collected over the course of a year. We find that for cameras that remain stationary and for which we have accurate image times-tamps, we can localize most cameras to within 50 miles of the known location. In addition, we demonstrate the use of a distributed camera network in the construction a map of weather conditions.

Original languageEnglish
StatePublished - 2007
Event2007 IEEE 11th International Conference on Computer Vision, ICCV - Rio de Janeiro, Brazil
Duration: Oct 14 2007Oct 21 2007


Conference2007 IEEE 11th International Conference on Computer Vision, ICCV
CityRio de Janeiro

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition


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