Projects per year
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 language | English |
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Title of host publication | Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010 |
Pages | 580 - 585 |
ISBN (Electronic) | 978-076954264-5 |
DOIs | |
Publication status | Published - 2010 |
Event | 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance: AVSS 2010 - Boston, United States Duration: 29 Aug 2010 → 1 Sept 2010 |
Conference
Conference | 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance |
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Country/Territory | United States |
City | Boston |
Period | 29/08/10 → 1/09/10 |
Fields of Expertise
- Information, Communication & Computing
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- 1 Finished
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MDL - Multimedia Documentation Lab: Wissensrepäsentation und -Organisation bei multimedialen Inhalten als Voraussetzung für sicherheitsrelevante Analysen
Wohlhart, P., Köstinger, M. & Bischof, H.
1/02/09 → 31/01/12
Project: Research project