An Innovative Intelligent Traffic System for Automatic Detection of Violent Vehicles from Surveillance Videos

  • سال انتشار: 1394
  • محل انتشار: کنفرانس بین المللی عمران ، معماری و زیرساخت های شهری
  • کد COI اختصاصی: ICICA01_0761
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 890
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نویسندگان

Mohammad Ali Alavianmehr

Deputy of Shiraz Traffic Control Center, Shiraz Municipality, Iran

Amir Sodagaran

Manager of Shiraz Traffic Control Center, Shiraz Municipality, Iran

Ali Zahmatkesh

Vice-president of Shiraz Urbun Traffic and Transportation, Shiraz Municipality, Iran

چکیده

Intelligent traffic control systems for detection of traffic rule violation is very important. For this purpose, image processing is employed in traffic analysis procedures. In this paper, a new approach is presented for extracting information of moving vehicles such as their speeds and paths to observe whether any one of them violates the traffic rules or not. For this purpose, first a series of video frames are acquired to initialize foreground from background discrimination based on Gaussian Mixture Model strategy. Then, moving objects are detected in the rest of video stream frames according to the detections corresponding to the same object over time. For this goal, a Munkres’ version of Hungarian algorithm is employed which provides tracking predictions for detected moving objects. After extracting such information, the paths and speeds of detected moving objects are analyzed and the traffic rule violations will be detected automatically. The implementation results related to the pilot version of proposed method demonstrates its high quality and feasibility even for traffic videos acquired by static cameras with strict and steady calibrations.

کلیدواژه ها

Gaussian Mixture Model, Kalman Filtering, Hungarian Algorithm, Intelligent Transportation System, Munkres’ version of Hungarian Algorithm

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