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Image-based vehicle indexing for a seaport transportation surveillance system

Sadlier, David A. and Ferguson, Paul and Ó Conaire, Ciarán and O'Connor, Noel E. (2011) Image-based vehicle indexing for a seaport transportation surveillance system. In: Advanced Video and Signal-Based Surveillance 2011, 30 Aug - 2 Sept 2011, Klagenfurt University, Austria.

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In this paper we describe and evaluate two methods underpinning a surveillance-based content management system, designed for monitoring and profiling freight-based vehicular traffic in a seaport environment. The `InSPeCT' system captures video footage of passing vehicles, and uses tailored optical character recognition (OCR) to index the footage according to vehicle license-plates and freight codes. The system provides advanced search techniques for the efficient retrieval of records, where each captured vehicle is profiled according to captured imagery and its associated interpretations. Underpinning this system is a method for detecting the boundaries of individual transits within sustained traffic flow. Considering it desirable to extend the indexing functionality of the system beyond OCR, a colour-based vehicle indexing approach is proposed and evaluated. All evaluations take place in the context of a system deployed in a busy national seaport.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Software engineering
Computer Science > Algorithms
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, Science Foundation Ireland
ID Code:16355
Deposited On:07 Oct 2011 14:30 by Dr. David Sadlier. Last Modified 16 Feb 2017 14:02

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