You are here:   Program

Corporate Donors

Sony make.believe

General Electric

Lakeside Labs

Copy BibTeX Entry

@INPROCEEDINGS{AVSS2011_1569430063,
  author = {David A Sadlier and Paul Ferguson and Ciarán Ó Conaire and Noel. E.
O'Connor and Killian Doyle},
  title = {{Image-based Vehicle Indexing for a Seaport Transportation Surveillance
System}},
  booktitle = {2011 8th IEEE International Conference on 
	Advanced Video and Signal-Based Surveillancei (AVSS)},
  year = {2011},
  pages = {6},
  month = {Aug.},
  abstract = {
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, in
addition to context information, 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. In addition, 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.
  }
}