Intelligent stolen vehicle detection using video sensing

Rami Al-Hmouz; Subhash Challa

doi:10.1109/IDC.2007.374567

Intelligent stolen vehicle detection using video sensing

Rami Al-Hmouz^*, Subhash Challa

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

This paper focuses on the problem of Color Recognition from natural images under various illumination conditions. The most likely colors of the vehicle are estimated in different regions of the car image around the plate and the results from these regions are fused using the famous Bayes ' rule. The application of the information fusion enhanced color recognition technology in stolen vehicle identification is also proposed in this paper. The basic approach is based on jointly estimating the license plate characters and other features of the car like its color and type and matching them with the registered car databases. If there is an inconsistency, the proposed method classifies the vehicle under observation as possibly stolen.

Original language	English
Title of host publication	Conference Proceedings of 2007 Information, Decision and Control, IDC
Pages	302-307
Number of pages	6
DOIs	https://doi.org/10.1109/IDC.2007.374567
Publication status	Published - 2007
Event	2007 Information, Decision and Control, IDC - Adelaide, Australia Duration: Feb 12 2007 → Feb 14 2007

Publication series

Name	Conference Proceedings of 2007 Information, Decision and Control, IDC

Other

Other	2007 Information, Decision and Control, IDC
Country/Territory	Australia
City	Adelaide
Period	2/12/07 → 2/14/07

Keywords

ALPR
Color recognition
Pattern recognition

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Information Systems and Management

Access to Document

10.1109/IDC.2007.374567

Cite this

Al-Hmouz, R & Challa, S 2007, Intelligent stolen vehicle detection using video sensing. in Conference Proceedings of 2007 Information, Decision and Control, IDC., 4252519, Conference Proceedings of 2007 Information, Decision and Control, IDC, pp. 302-307, 2007 Information, Decision and Control, IDC, Adelaide, Australia, 2/12/07. https://doi.org/10.1109/IDC.2007.374567

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title = "Intelligent stolen vehicle detection using video sensing",

abstract = "This paper focuses on the problem of Color Recognition from natural images under various illumination conditions. The most likely colors of the vehicle are estimated in different regions of the car image around the plate and the results from these regions are fused using the famous Bayes ' rule. The application of the information fusion enhanced color recognition technology in stolen vehicle identification is also proposed in this paper. The basic approach is based on jointly estimating the license plate characters and other features of the car like its color and type and matching them with the registered car databases. If there is an inconsistency, the proposed method classifies the vehicle under observation as possibly stolen.",

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author = "Rami Al-Hmouz and Subhash Challa",

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language = "English",

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series = "Conference Proceedings of 2007 Information, Decision and Control, IDC",

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AB - This paper focuses on the problem of Color Recognition from natural images under various illumination conditions. The most likely colors of the vehicle are estimated in different regions of the car image around the plate and the results from these regions are fused using the famous Bayes ' rule. The application of the information fusion enhanced color recognition technology in stolen vehicle identification is also proposed in this paper. The basic approach is based on jointly estimating the license plate characters and other features of the car like its color and type and matching them with the registered car databases. If there is an inconsistency, the proposed method classifies the vehicle under observation as possibly stolen.

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KW - Pattern recognition

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Intelligent stolen vehicle detection using video sensing

Abstract

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Keywords

ASJC Scopus subject areas

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