Automatic detection and reading of dangerous goods plates

Peter Roth, Martin Köstinger, Paul Wohlhart, Horst Bischof, Josef Birchbauer

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

In this paper, we present an efficient solution for automatic detection and reading of dangerous goods plates on trucks and trains. According to the ADR agreement dangerous goods transports are marked with an orange plate covering the hazard class and the identification number for the hazardous substances. Since under real-world conditions high resolution images (often at low quality) have to be processed an efficient and robust system is required. In particular, we propose a multi-stage system consisting of an acquisition step, a saliency region detector (to reduce the run-time), a plate detector, and a robust recognition step based on an Optical Character Recognition (OCR). To demonstrate the system, we show qualitative and quantitative localization/recognition results on two challenging data sets. In fact, building on proven robust and efficient methods, we show excellent detection and classification results under hard environmental conditions at low run-time.
Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010
Pages580 - 585
ISBN (Electronic)978-076954264-5
DOIs
Publication statusPublished - 2010
Event7th IEEE International Conference on Advanced Video and Signal-Based Surveillance: AVSS 2010 - Boston, United States
Duration: 29 Aug 20101 Sept 2010

Conference

Conference7th IEEE International Conference on Advanced Video and Signal-Based Surveillance
Country/TerritoryUnited States
CityBoston
Period29/08/101/09/10

Fields of Expertise

  • Information, Communication & Computing

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