Abstract
A multi-viewpoint integration scheme is introduced to recognize scene features prior to physical access. In this schematics, chromatic complexity of vehicle's- and bird's-eye-views of roadway scenes are matched to extend GPS tracks towards possible destinations. Saliency patterns arising in destination images are anticipatively extracted to control the focus of inherent and machine vision to what to be analyzed. © 2012 Springer-Verlag.
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CITATION STYLE
Kamejima, K. (2012). GPS-based multi-viewpoint integration for anticipative scene analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7585 LNCS, pp. 375–384). Springer Verlag. https://doi.org/10.1007/978-3-642-33885-4_38
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