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Based on Traffic Video Information Extraction Technology Research

Author: SunYaoDong
Tutor: YeQing
School: Changsha University of Science and Technology
Course: Traffic Information Engineering \u0026 Control
Keywords: video video coding distance determination traffic information
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 54
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Abstract

Traffic video monitoring system is an important part of the intelligent transport system,its main function is to make the traffic control center find and deal with the traffic incidentsin the shortest time. The traffic video also provides an abundance of road traffic information,such as learning of the traffic congestion by observing the video, gaining real-time weatherinformation automatically by using of video image analysis methods to provide more help forthe road run control. For traffic video surveillance systems due to its simple erection andlowe cost has been widely used in urban roads and highways.At present,the traffic video is obtained by setting the camera on the road grid,transported by a particular transmission line and processed by tranffic control center,orstored and analyzed later. The both of methods are always coding the tranffic video in orderto improving the transmission speed and ensuring the tranffic video’s high quality.Thequestion is that evevry video monitoring would have different coding standard so that thevideo can’t be used and shared by every one.Meanwhile the traditional system only payattention to monitoring,but the tranffic video also have rich of information such as weatherinformation,distance information etc.So in this paper we mainly solve these question.The main contents:(1) At first, we analys the current video compression algorithm theory, the theoryinclude process of the raw data obtained from the camera YUV format video coding tocompression video and standard MPEG-4analysis of the current.Since different videosurveillance systems,its coding standard and video file formats are also different.In thispaper， I program by VC++6.0and FFMPEG platform.(2)Acheiving cameras ranging based on traffic video.Completed a camera in the process of monitoring the distance between the actual targetlocation of the accident and the targetand the target calibrationn the process of monitoring the calibration of the distance betweenthe actual target location of the accident by standardizing the camera.(3) detect the distance information based on the distance information to judge theweather, weather information, such as fog, haze, rain and other weather conditions, the fog ofdetermination mainly by measuring the visibility to determine fog or no fog, mist from timeto time The fog also mist timely weather information is given. Therefore, the relevantdepartments of traffic control is also studying how this can quickly monitor the weather anddissemination of weather information, meteorological monitoring equipment is moreexpensive due to the impact of weather on traffic operations, to the entire road networksurface overlay erection impossible and so the use of video surveillance images to obtainweather information is very important. Also fog and evening these two look similar, but theactual difference between the images to get the difference between the way by the method offitting curve parameters.In summary this paper research is based on the determination of traffic videoapplication, including the distance of the traffic scene, fog, rain detection. And specificalgorithms have been optimized according to the characteristics of the traffic video.

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