Generic Object Recognition in Urban Image Databases

Authors:
Xavier Baró;Sergio Escalera;Petia Radeva;Jordi Vitrià
Affiliations:
Computer Vision Center, UAB. Dept. Matemàtica Aplicada i Anàlisi, UB;Computer Vision Center, UAB. Dept. Matemàtica Aplicada i Anàlisi, UB;Computer Vision Center, UAB. Dept. Matemàtica Aplicada i Anàlisi, UB;Computer Vision Center, UAB. Dept. Matemàtica Aplicada i Anàlisi, UB
Venue:
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Year:
2009

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Abstract

In this paper we propose the construction of a visual content layer which describes the visual appearance of geographic locations in a city. We captured, by means of a Mobile Mapping system, a huge set of georeferenced images (500K) which cover the whole city of Barcelona. For each image, hundreds of region descriptions are computed off-line and described as a hash code. All this information is extracted without an object of reference, which allows to search for any type of objects using their visual appearance. A new Visual Content layer is built over Google Maps, allowing the object recognition information to be organized and fused with other content, like satellite images, street maps, and business locations.