Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras

Authors:
Nathan Jacobs;Nathaniel Roman;Robert Pless
Affiliations:
Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA, jacobsn@cse.wustl.edu;Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA, ngr1@cse.wustl.edu;Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA, pless@cse.wustl.edu
Venue:
WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
Year:
2008

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Abstract

Automating tools for geo-locating and geo-orienting static cameras is a key step in creating a useful global imaging network from cameras attached to the Internet. We present algorithms for partial camera calibration that rely on access to accurately time-stamped images captured over time from cameras that do not move. To support these algorithms we also offer a method of camera viewpoint change detection, or "tamper detection", which determines if a camera has moved in the challenging case when images are only captured every half hour. These algorithms are tested on a subset of the AMOS (Archive of Many Outdoor Scenes) database, and we present preliminary results that highlight the promise of these approaches.