PedSeg: GPS tracks as priors for overhead image segmentation

Authors:
Shawn Newsam;Brent Edmunds;Andrew Pierce
Affiliations:
University of California at Merced;University of California at Merced;University of California at Merced
Venue:
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2011

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Abstract

We introduce PedSeg, a system for computing the boundaries of visually distinct geo-spatial objects. Knowing the precise boundaries or even bounding box approximations of geo-spatial objects is important for maintaining existing repositories such as gazetteers as well creating volunteered geographic information sources such as OpenStreetMap. PedSeg uses active contour image segmentation to determine an object's spatial extent from high-resolution overhead imagery. The novel aspect of this work is that the image segmentation is seeded with a GPS track acquired by simply walking around or otherwise traversing the approximate boundary of the target object (thus the prefix Ped). The technique is intended to be completely automated once the GPS track has been loaded into the system. This provides several advantages such as the user not needing to be skilled at image editing. In fact, the user does not even need to access, view, or interact with the imagery. The use of active contour image segmentation compensates for inaccuracies in the user acquired GPS tracks due to GPS error or the physical inaccessibility of the object boundary. We present examples of using PedSeg to compute the boundaries of a number of geo-spatial objects.