Intelligent stolen vehicle detection using video sensing

Rami Al-Hmouz*, Subhash Challa

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

5 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
عنوان منشور المضيفConference Proceedings of 2007 Information, Decision and Control, IDC
الصفحات302-307
عدد الصفحات6
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2007
الحدث2007 Information, Decision and Control, IDC - Adelaide, Australia
المدة: فبراير ١٢ ٢٠٠٧فبراير ١٤ ٢٠٠٧

سلسلة المنشورات

الاسمConference Proceedings of 2007 Information, Decision and Control, IDC

Other

Other2007 Information, Decision and Control, IDC
الدولة/الإقليمAustralia
المدينةAdelaide
المدة٢/١٢/٠٧٢/١٤/٠٧

ASJC Scopus subject areas

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