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Moving Vehicle Detection Using Image Processing in Surveillance Videos

عنوان مقاله: Moving Vehicle Detection Using Image Processing in Surveillance Videos
شناسه ملی مقاله: ICELE02_324
منتشر شده در دومین کنفرانس بین المللی مهندسی برق در سال 1396
مشخصات نویسندگان مقاله:

Mohammad Mahdi Moghimi - Department of Electrical Engineering,Yazd Branch, Islamic Azad University, Yazd, Iran
Maryam Nayeri - Department of Electrical Engineering,Yazd Branch, Islamic Azad University, Yazd, Iran
Majid pourahmadi - Department of Electrical Engineering,Yazd Branch, Islamic Azad University, Yazd, Iran

خلاصه مقاله:
Vehicle detection is a technology which its aim is to locate and show the vehicle size in digital images. In this technology, vehicles are detected in presence of other things like trees and buildings. It has an important role in many computer vision applications such as vehicle tracking, analyzing the traffic scene and efficient traffic management. In this paper, Image processing algorithm is used for vehicle detection based on the boosting technique. Our proposed system is tested in some real scenes of surveillance videos with different light conditions. The experimental results show that the quality of the proposed vehicle detection method are better than the previous techniques..

کلمات کلیدی:
Vehicle detection; Image Processing algorithm; Surveillance videos;

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/698606/