Digital

Wissenschaftliche Publikation

Visual Object Detection for Mobile Road Sign Inventory

Publikation aus Digital

Seifert C., DI Dr. Lucas Paletta, Jeitler A., Hödl E., DI Jean-Philippe Andreu, DI (FH) Patrick Luley, DI Alexander Almer

, 2004

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.

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Zusätzliche Informationen: In: Brewster S. and Dunlop M. (Eds.): Mobile HCI 2004. LNCS 3160. pp. 491-495. Heidelberg: