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Image-based vehicle indexing for a seaport transportation surveillance system
Sadlier, David A.; Ferguson, Paul; Ó Conaire, Ciarán; O'Connor, Noel E.
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.
Keyword(s): Information storage and retrieval systems; Multimedia systems; Software engineering; Algorithms; Image processing
Publication Date:
2011
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Sadlier, David A., Ferguson, Paul, Ó Conaire, Ciarán and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> (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.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/16355/1/avss_paper_2011-camerafinalversion.pdf
First Indexed: 2011-10-08 05:16:42 Last Updated: 2019-02-09 06:49:02