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Movement of vehicles in the traffic information collection system detection and recognition technology
Author: SongYan
Tutor: LvChengGuo
School: Heilongjiang University
Course: Software Engineering
Keywords: Moving Target Detection Identification of the target Intelligent Transportation Systems
CLC: TP274.2
Type: Master's thesis
Year: 2009
Downloads: 60
Quote: 0
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Abstract
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With the development of the national economy , traffic congestion and other traffic pressure more and more people's attention, the real-time monitoring and analysis of traffic information , are playing an important role , in order to be able to accurately access to real - time traffic information , video testing and other means of modern technology has been widely applied to the work of modern traffic management , handling of road traffic video images taken by the camera on the road , you can get a lot of important traffic parameters , these parameters are very important on the actual road traffic management . Video traffic detection technology has gradually become the mainstream technology means traffic information collection , extensive application prospects . Real-time collection of traffic information , such as traffic statistics , the average speed of the lane , the models of classification and recognition for modern road traffic management plays a very important role , with the increasing pressure of urban traffic , the original traffic information monitoring means , already can not meet the actual needs of modern monitoring method based on image processing because of its monitoring range set flexible , intelligent traffic management has become a hot research topic . This paper studies the detection and recognition of the movement of vehicles , mainly the following aspects : 1 , to achieve a simple design of video data acquisition , system interface intelligent traffic information collection system . Completed the preliminary development ; video traffic information collection system in the detection process , the moving target background updates, noise cancellation and difficult problems in depth analysis of the establishment of a stable vehicle detection algorithm ; 3 , through the identification of all targets algorithm analysis and comparison of the solutions put forward a set of feasible vehicle identification ; road vehicle speed by using the above results calculated analysis of the traffic congestion , and real-time alarm ; 5 , recorded each period of the day traffic congestion degree of and convenient traffic warning level . Of this sports vehicle detection method as a general method for the field of visual surveillance , have certain theoretical significance and practical value , can be extended to other applications of visual surveillance , and has broad application prospects .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system > Data collection and processing systems
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