Vehicle Tracking and Counting System in Dusty Weather with Vibrating Camera Conditions
المؤلفون المشاركون
Yaghoobi Ershadi, Nastaran
Menéndez, José Manuel
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-24
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Traffic surveillance systems are interesting to many researchers to improve the traffic control and reduce the risk caused by accidents.
In this area, many published works are only concerned about vehicle detection in normal conditions.
The camera may vibrate due to wind or bridge movement.
Detection and tracking of vehicles are a very difficult task when we have bad weather conditions in winter (snowy, rainy, windy, etc.) or dusty weather in arid and semiarid regions or at night, among others.
In this paper, we proposed a method to track and count vehicles in dusty weather with a vibrating camera.
For this purpose, we used a background subtraction based strategy mixed with extra processing to segment vehicles.
In this paper, the extra processing included the analysis of the headlight size, location, and area.
In our work, tracking was done between consecutive frames via a particle filter to detect the vehicle and pair the headlights using the connected component analysis.
So, vehicle counting was performed based on the pairing result.
Our proposed method was tested on several video surveillance records in different conditions such as in dusty or foggy weather, with a vibrating camera, and on roads with medium-level traffic volumes.
The results showed that the proposed method performed better than other previously published methods, including the Kalman filter or Gaussian model, in different traffic conditions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yaghoobi Ershadi, Nastaran& Menéndez, José Manuel. 2017. Vehicle Tracking and Counting System in Dusty Weather with Vibrating Camera Conditions. Journal of Sensors،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1186921
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yaghoobi Ershadi, Nastaran& Menéndez, José Manuel. Vehicle Tracking and Counting System in Dusty Weather with Vibrating Camera Conditions. Journal of Sensors No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1186921
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yaghoobi Ershadi, Nastaran& Menéndez, José Manuel. Vehicle Tracking and Counting System in Dusty Weather with Vibrating Camera Conditions. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1186921
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1186921
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