Automatic vehicles detection : classification and counting techniques-survey
العناوين الأخرى
تقنيات الكشف عن المركبات و تصنيفها و عدها-المسح
المؤلفون المشاركون
Ali, Yusra Husayn
Najm, Mustafa
المصدر
العدد
المجلد 61، العدد 7 (31 يوليو/تموز 2020)، ص ص. 1811-1822، 12ص.
الناشر
تاريخ النشر
2020-07-31
دولة النشر
العراق
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Vehicle detection (VD) plays a very essential role in Intelligent Transportation Systems (ITS) that have been intensively studied within the past years.
The need for intelligent facilities expanded because the total number of vehicles is increasing rapidly in urban zones.
Traffic monitoring is an important element in the intelligent transportation system, which involves the detection, classification, tracking, and counting of vehicles.
One of the key advantages of traffic video detection is that it provides traffic supervisors with the means to decrease congestion and improve highway planning.
Vehicle detection in videos combines image processing in real-time with computerized pattern recognition in flexible stages.
The real-time processing is very critical to keep the appropriate functionality of automated or continuously working systems.
VD in road traffics has numerous applications in the transportation engineering field.
In this review, different automated VD systems have been surveyed, with a focus on systems where the rectilinear stationary camera is positioned above intersections in the road rather than being mounted on the vehicle.
Generally, three steps are utilized to acquire traffic condition information, including background subtraction (BS), vehicle detection and vehicle counting.
First, we illustrate the concept of vehicle detection and discuss background subtraction for acquiring only moving objects.
Then a variety of algorithms and techniques developed to detect vehicles are discussed beside illustrating their advantages and limitations.
Finally, some limitations shared between the systems are demonstrated, such as the definition of ROI, focusing on only one aspect of detection, and the variation of accuracy with quality of videos.
At the point when one can detect and classify vehicles, then it is probable to more improve the flow of the traffic and even give enormous information that can be valuable for many applications in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Najm, Mustafa& Ali, Yusra Husayn. 2020. Automatic vehicles detection : classification and counting techniques-survey. Iraqi Journal of Science،Vol. 61, no. 7, pp.1811-1822.
https://search.emarefa.net/detail/BIM-970133
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Najm, Mustafa& Ali, Yusra Husayn. Automatic vehicles detection : classification and counting techniques-survey. Iraqi Journal of Science Vol. 61, no. 7 (2020), pp.1811-1822.
https://search.emarefa.net/detail/BIM-970133
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Najm, Mustafa& Ali, Yusra Husayn. Automatic vehicles detection : classification and counting techniques-survey. Iraqi Journal of Science. 2020. Vol. 61, no. 7, pp.1811-1822.
https://search.emarefa.net/detail/BIM-970133
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Text in English ; abstracts in English and Arabic.
رقم السجل
BIM-970133
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر