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Proceedings Paper

Integrating LPR with CCTV systems: problems and solutions
Author(s): David Bissessar; Dmitry O. Gorodnichy
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Paper Abstract

A new generation of high-resolution surveillance cameras makes it possible to apply video processing and recognition techniques on live video feeds for the purpose of automatically detecting and identifying objects and events of interest. This paper addresses a particular application of detecting and identifying vehicles passing through a checkpoint. This application is of interest to border services agencies and is also related to many other applications. With many commercial automated License Plate Recognition (LPR) systems available on the market, some of which are available as a plug-in for surveillance systems, this application still poses many unresolved technological challenges, the main two of which are: i) multiple and often noisy license plate readings generated for the same vehicle, and ii) failure to detect a vehicle or license plate altogether when the license plate is occluded or not visible. This paper presents a solution to both of these problems. A data fusion technique based on the Levenshtein distance is used to resolve the first problem. An integration of a commercial LPR system with the in-house built Video Analytic Platform is used to solve the latter. The developed solution has been tested in field environments and has been shown to yield a substantial improvement over standard off-the-shelf LPR systems.

Paper Details

Date Published: 19 May 2011
PDF: 13 pages
Proc. SPIE 8049, Automatic Target Recognition XXI, 80490T (19 May 2011); doi: 10.1117/12.883540
Show Author Affiliations
David Bissessar, Canada Border Services Agency (Canada)
Dmitry O. Gorodnichy, Canada Border Services Agency (Canada)


Published in SPIE Proceedings Vol. 8049:
Automatic Target Recognition XXI
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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