Abstract
For road sign inventory and maintenance, we propose to use a mobile system based on a handheld device, GPS sensor, a camera, and a standard mobile GIS software. Camera images are then analysed via object recognition algorithms which results in an automated detection, i.e., localisation and classification of the signs. We present here the localisation of points and regions of interest, the fitting of geometrical constraints to the extracted set of interest points, and the matching of content information from the visual information within the sign plate. From the preliminary operational state of the vision based road sign detection system we conclude that the selected methodology is efficient enough to achieve the requested high quality in object detection and classification.
This work is funded by the European Commission’s IST project DETECT under grant number IST-2001-32157, and the Austrian Joint Research Project ’Cognitive Vision’, sub-projects S9103-N04 and S9104-N04.
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© 2004 Springer-Verlag Berlin Heidelberg
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Seifert, C. et al. (2004). Visual Object Detection for Mobile Road Sign Inventory. In: Brewster, S., Dunlop, M. (eds) Mobile Human-Computer Interaction - MobileHCI 2004. Mobile HCI 2004. Lecture Notes in Computer Science, vol 3160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28637-0_63
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DOI: https://doi.org/10.1007/978-3-540-28637-0_63
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