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مقاله Detecting and Numerating Vehicles from CCTV Traffic CameraMovies Using a Support Vector Machine فایل ورد (word) دارای 18 صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است

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بخشی از متن مقاله Detecting and Numerating Vehicles from CCTV Traffic CameraMovies Using a Support Vector Machine فایل ورد (word) :

سال انتشار: 1392
محل انتشار: سیزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک
تعداد صفحات: 18
نویسنده(ها):
Hamed Amini – Civil Engineering Faculty, Tafresh State University, Tafresh, Iran.
Parham Phlavani – Center of Excellence in Geomatic Eng.in Diseater Management, Dept. of Surveying andGeomatic Eng, College of Eng., University of Tehran, Tehran, Iran.
Roohollah Karimi – Civil Engineering Faculty, Tafresh State University, Tafresh, Iran.

چکیده:

Nowadays closed circuit televisions (CCTV) have been highly developed andhave been utilized in most of road intersections and places with heavycongestion. CCTVs are very useful for automation of traffic control by vehicledetection and computing the number of vehicles automatically from CCTVs;controlling urban roads, as well as accident management with high accuracy andspeed would be possible. In this paper, a different procedure for detecting andnumerating vehicles was proposed from CCTV traffic camera movies. In thisregard, at first a region of roads was detected using the frames of a short part ofCCTV movies. Then in order to gather the training data in the detected region,some features were selected according to their ability in clarifying vehicles.Afterwards, a support vector machine (SVM) and an artificial neural network(ANN) were proposed for detecting vehicles. Finally, the number of vehicleswere computed by binary results from detected vehicles. Comparing the resultsof the proposed ANN-based method with the proposed SVM one reveals that theproposed SVM-based method has a better performance in computing the numberof vehicles in cameras that have a long distant from vehicles.

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