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مدیریت فناوری اطلاعات، جلد ۱۴، شماره Special Issue: Security and Resource Management challenges for Internet of Things، صفحات ۱۱۸-۱۳۱
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عنوان انگلیسی Moving Vehicles Detection and Tracking on Highways and Transportation System for Smart Cities
چکیده انگلیسی مقاله The real-time video surveillance system has become an integral part of our life and Highways play a very crucial role in transportation. For a transportation system to work, the management of highways are necessary. It also prevents accident and other challenging issues on highways. Various machine learning and artificial intelligence based techniques are evolving with numerous advancement in this domain. These algorithms are efficient and very less time consuming. So the use of machine learning and artificial intelligence in transportation systems and highways could be very beneficial. In this paper, various approaches related to moving vehicle detection for the transportation system especially for highways are considered. The literature also reveals for existing research for the machine learning and AI based methodologies to resolve more complex real-time problems. The proposed work is also compared with the existing peer methods and demonstrated better performance achieved experimentally.
کلیدواژه‌های انگلیسی مقاله Background subtraction,Transportation Systems,Highways,Moving Vehicle De-tection,Post processing
نویسندگان مقاله Manoj Kumar |
Department of Computer Science & Engineering, Manav Rachna University, Faridabad.

Susmita Ray |
Professor, Department of Computer Science& Engineering, Manav Rachna University, Faridabad.

Dileep Kumar Yadav |
Associate Professor, Department of Computer Science& Engineering, Galgotias University, Greater Noida.

نشانی اینترنتی https://jitm.ut.ac.ir/article_86655_fe0fa12c09e35ffbae66c94d01d8e8f7.pdf
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