智能超速抓拍系统设计
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摘要
随着我国交发通建设的迅速发展,智能交通系统在我国城市道路交通管理领域已经得到了广泛使用,智能交通系统的使用规范了交通秩序,降低了交通事故,取得了明显的社会效益。超速抓拍系统作为智能交通系统的重要组成部分,也得到了同样的重视。违章超速抓拍设备都安装在高速公路特殊的路段,主要用于对进出这些路段的车辆进行二十四小时全天候不间断监测和记录。
但是目前应用于高速公路车辆实时监控的科技手段并不多。这主要是缘于以下两个因素:第一,国内道路智能交通技术发展时间比较短,加上技术本身的不足使得在实际应用的时候效果并不理想。第二,雷达、激光系统以及国外高速摄像设备价格比较昂贵,维护和管理成本太高。
基于当前国内高速公路交通管理急需智能化管理这一情况,本文采用基于环型线圈检测技术的高速公路超速抓拍系统,相对于当前流行的其他检测器来说,基于环型线圈检测的采集系统具有技术成熟、价格低廉、检测参数多、检测区域广等显著优点,是当今应用最广泛的检测方式。因此,本文的研究课题具有很大的理论和应用价值。
此系统结合了高速拍照、图像处理、网络数据传输、专用工控机以及专有控制软件等技术,通过使用工业级的高速摄像机对外界视场进行二十四小时监控,对高速公路上的违章超速行驶车辆进行实时抓拍,待违章图像存储到本地的硬盘上时,系统的传输软件负责把抓拍到的图像数据发送到指定的监控中心,系统在监控中心配备统一的图像数据管理的数据库,负责对车辆数据进行统一的管理。
本文以武汉某公司的应用项目为研究平台,对超速抓拍系统进行了研究和实现。并结合应用的具体需求,对整个系统进行了总体设计,对其硬件设备进行了介绍,对相关功能的实现原理和算法进行了描述,并以Visual C++6.0为平台开发了应用软件。在项目的后期,除了室内测试,还借助于现有的闯红灯抓拍系统作了现场实验,实验结果证明,该系统在一定程度上达到了预期的目的。
With the quickly develop of domestic transportation constructions, ITS is widely used on city road traffic controlling field in our country. The adoption of ITS has regulated traffic order, reduced traffic accidents and benefited the society. Over-speed snapping as an important part of ITS system, which also lay store by society. Over-speed snapping system is installed on special routine road on highway. It is used for monitoring the cars on the road for 24 hours.
However, nowadays, the technology of highway real-time monitor system is not very developed. There are two reasons: First, the developing period of ITS is short in our country, with the fault of the technology, the real application result is not good. Second, the cost of radar, laser system and foreign over-speed snapping system is expensive, maintenance and management cost are expensive.
Based on the condition of highway traffic require for intelligent management, the paper describes a highway over-speed snapping system which based on circle loop vehicle detector. Compared with other detectors those are popular in the moment, there are many advantages of circle loop vehicle detector, such as technique maturity, low installation cost, wider detect areas and more traffic parameters. Which is the widely detection mode, so there is a great value of the paper in theory and application
The system contains high-speed camera, picture management, networking data transfer, special machine and control software. It monitors the road day and night with industry high-speed camera, and catches the picture of over speed cars in real time. After the pictures are stored on hard disk, the transfer software will collect the picture data and send them to monitor center. The monitor center controls all the cars data with a picture control database, which take charge of unite management for vehicle data.
The paper is based on an applied project from one company to research and construct a over speed snapping system. And combining with the specific needs of practice, design the overall system, and the hardware equipment is introduced, the principle and the algorithm of some related functions are described, and the application software is developed based on Visual C++6.0. At the late stage of the program, in addition to taking indoor experiment, we also take scene experiment with the existing red light runner equitment. The result of the experiment proved that the system achieves the goat we expect.
但是目前应用于高速公路车辆实时监控的科技手段并不多。这主要是缘于以下两个因素:第一,国内道路智能交通技术发展时间比较短,加上技术本身的不足使得在实际应用的时候效果并不理想。第二,雷达、激光系统以及国外高速摄像设备价格比较昂贵,维护和管理成本太高。
基于当前国内高速公路交通管理急需智能化管理这一情况,本文采用基于环型线圈检测技术的高速公路超速抓拍系统,相对于当前流行的其他检测器来说,基于环型线圈检测的采集系统具有技术成熟、价格低廉、检测参数多、检测区域广等显著优点,是当今应用最广泛的检测方式。因此,本文的研究课题具有很大的理论和应用价值。
此系统结合了高速拍照、图像处理、网络数据传输、专用工控机以及专有控制软件等技术,通过使用工业级的高速摄像机对外界视场进行二十四小时监控,对高速公路上的违章超速行驶车辆进行实时抓拍,待违章图像存储到本地的硬盘上时,系统的传输软件负责把抓拍到的图像数据发送到指定的监控中心,系统在监控中心配备统一的图像数据管理的数据库,负责对车辆数据进行统一的管理。
本文以武汉某公司的应用项目为研究平台,对超速抓拍系统进行了研究和实现。并结合应用的具体需求,对整个系统进行了总体设计,对其硬件设备进行了介绍,对相关功能的实现原理和算法进行了描述,并以Visual C++6.0为平台开发了应用软件。在项目的后期,除了室内测试,还借助于现有的闯红灯抓拍系统作了现场实验,实验结果证明,该系统在一定程度上达到了预期的目的。
With the quickly develop of domestic transportation constructions, ITS is widely used on city road traffic controlling field in our country. The adoption of ITS has regulated traffic order, reduced traffic accidents and benefited the society. Over-speed snapping as an important part of ITS system, which also lay store by society. Over-speed snapping system is installed on special routine road on highway. It is used for monitoring the cars on the road for 24 hours.
However, nowadays, the technology of highway real-time monitor system is not very developed. There are two reasons: First, the developing period of ITS is short in our country, with the fault of the technology, the real application result is not good. Second, the cost of radar, laser system and foreign over-speed snapping system is expensive, maintenance and management cost are expensive.
Based on the condition of highway traffic require for intelligent management, the paper describes a highway over-speed snapping system which based on circle loop vehicle detector. Compared with other detectors those are popular in the moment, there are many advantages of circle loop vehicle detector, such as technique maturity, low installation cost, wider detect areas and more traffic parameters. Which is the widely detection mode, so there is a great value of the paper in theory and application
The system contains high-speed camera, picture management, networking data transfer, special machine and control software. It monitors the road day and night with industry high-speed camera, and catches the picture of over speed cars in real time. After the pictures are stored on hard disk, the transfer software will collect the picture data and send them to monitor center. The monitor center controls all the cars data with a picture control database, which take charge of unite management for vehicle data.
The paper is based on an applied project from one company to research and construct a over speed snapping system. And combining with the specific needs of practice, design the overall system, and the hardware equipment is introduced, the principle and the algorithm of some related functions are described, and the application software is developed based on Visual C++6.0. At the late stage of the program, in addition to taking indoor experiment, we also take scene experiment with the existing red light runner equitment. The result of the experiment proved that the system achieves the goat we expect.
引文
[1]Garrison WL,Ward JD.Tomorrow's Transportation.Boston,London:Artech House,1999.115-135
[2]姜良维,张铿.电子警察系统的理论基础.中国交通信息产业,2006
[3]邵杰,刘金坤,朱林.电子警察的市场需求与发展趋势分析.道路交通与安全,2004
[4]安福东.视频技术在交通管理系统中的应用——电子警察.中国安防产品信息,2003
[5]杨嵘.新一代的电子警察系统,电子技术,2006
[6]姚震中,王笑京.迎接智能运输系统的美好未来.公路交通科技,1998
[7]陆键,项乔君.关于我国智能运输系统ITS产业化发展方向的思考.东南大学学报(自然科学版),2002,5
[8]Mcqueen B,Mcqueen J.Intelligent Transportation System Architectures.Boston,London:ArtechHouse,1999,456-513
[9]Rick Schuman.Developing a system architecture that no one owns The U.S.Approach to System Architecture:Proceedings of the 1st World Congresson ITS,French:1994
[10]蒋金勇,杨晓光.美国国家智能运输系统体系结构概述.公路交通科技,1999.9(3)
[11]陈旭梅,于雷,郭继孚等.美国智能交通系统ITS的近期发展综述.中外公路,2003.4(2)
[12]梁栋柯,范凌云,郑皓.智能交通系统初探.公路交通技术,2004.12(6)
[13]David F.Ferraiolo.Proposed NIST standard for role-based access control.ACM Transactions on Information and System Security,2001,4(3):224-274
[14]李峰.智能交通系统在国外的发展趋势.国外公路,1999
[15]崔文兵.美、欧、日智能交通系统的发展.世界汽车,1999
[16]Masafumi Mori.Getting Around in Japan.The Status and Challenges of ITS.Public Roads,March/April,1999
[17]Hideo Tokuyama.Intelligent Transportation System in Japan.Public Roads.Autumn,1996
[18]张雷,肖梅.我国智能交通运输系统的发展及对策探讨.江苏交通,2003
[19]Barbara A,Kovell.Magnetic sensors for traffic applications Traffic Techology International June/July,1998.107-109
[20]孙震东.一种手持式智能超速违章抓拍系统的设计与实现:[硕士学位论文].成都:电子科技大学,2007
[21]I.S.Kim.Two novel radar vehicle detectors for the replacement of a conventional loop detector.Microwave Journal,2001,4.4(7):22-40
[22]G..Surendra.Detection and classification of vehicles.IEEE Trans,On ITS.2002,3:37-47
[23]安福东.机动车的几种测速方式原理及性能的分析比较.警察技术,2003(3):33-35
[24]David J.Kruglinski,Scot Wingo,George Shepherd.Programming Visual C++6.0技术内幕(第五版).北京希望电子出版社,2001
[25]黄维通.Vivsual C++面向对象与可视化程序设计.清华大学出版社,2003
[26]Jeff Prosise.MFC Windows程序设计(第2版).清华大学出版社,2001
[27]求是科技.Visual C++数字图像处理典型算法及实现.人民邮电出版社.2006
[28]陈体健,陈文智.高速摄像超速抓拍系统在高速公路智能化管理中的应用.工业计算机,2006
[29]蒋大明,李志能.道路车辆监控系统中灯光补偿技术研究.照明工程学报,2005,16(4)
[30]林福文.道路交通卡口监控系统建设初探.中国公共安全,2003,2:67-71
[31]宋颖华.交通检测技术及其发展.公路,2000年.62(9):31-34
[32]Liu Ji-lin,Song Jia-tao.Vehicle license plate recognition system with high performance.Acta Automatica Sinica,2003.29(3):457-465
[33]刘东.ITS中的车辆检测技术.公安大学学报(自然科学版)2000.20(4):37-39
[34]高星文.交通检测器在高速公路中的应用及评价.山西建筑.2002.28(11):125-126
[35]刘利频,温慧英,徐建闽.多类传感器实时交通数据采集和车型的自动分类系统设计.交通与计算机.2005.23(122):71-74
[36]Wang Nian,Li Jie.Segmentation method of multi-level automobile license location.Journal of Anhui University(Natural Science Edition),1999.23(2):57-62
[37]姜紫峰,谭光莉.车辆检测器的发展.西安公路交通大学,1996.3(1):62-65
[38]孙凤,王高爽.车牌识别技术中的触发问题及应用.北方交通,2006.10:71-73
[39]边明军,陈思忠,罗汉军.智能交通系统(ITS)及其发展.武汉理工大学学报,2001.23(1):67-70
[40]李诚.锁相环式环形线圈车辆检测器的研究.河南交通科技,1994年.6(62):31-34
[41]郭兰英.锁相技术的环形线圈车辆检测器的研究.西安公路交通大学学报,1998.18(3):110-112
[42]Dr Durga,P Panda,Mr Richard et al.Image Sensing System Technology Advancement For Adaptive Traffic Management.Florida:ITS World Congress in Orlando,1996
[43]卢湖川,朱矿军.基于视频的交通流参数检测.城市交通,2005.3(2):70-74
[44]Mohan A,Papageorgiou C.Example-based object detection in images by components.IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(4):349-361
[45]E R Lee,P K KIM,H J.Ki.Automatic recognition of a car license plate using color image processing.Procof Internation Conference on Image Processing(ICIP94),1994,12:301-305
[2]姜良维,张铿.电子警察系统的理论基础.中国交通信息产业,2006
[3]邵杰,刘金坤,朱林.电子警察的市场需求与发展趋势分析.道路交通与安全,2004
[4]安福东.视频技术在交通管理系统中的应用——电子警察.中国安防产品信息,2003
[5]杨嵘.新一代的电子警察系统,电子技术,2006
[6]姚震中,王笑京.迎接智能运输系统的美好未来.公路交通科技,1998
[7]陆键,项乔君.关于我国智能运输系统ITS产业化发展方向的思考.东南大学学报(自然科学版),2002,5
[8]Mcqueen B,Mcqueen J.Intelligent Transportation System Architectures.Boston,London:ArtechHouse,1999,456-513
[9]Rick Schuman.Developing a system architecture that no one owns The U.S.Approach to System Architecture:Proceedings of the 1st World Congresson ITS,French:1994
[10]蒋金勇,杨晓光.美国国家智能运输系统体系结构概述.公路交通科技,1999.9(3)
[11]陈旭梅,于雷,郭继孚等.美国智能交通系统ITS的近期发展综述.中外公路,2003.4(2)
[12]梁栋柯,范凌云,郑皓.智能交通系统初探.公路交通技术,2004.12(6)
[13]David F.Ferraiolo.Proposed NIST standard for role-based access control.ACM Transactions on Information and System Security,2001,4(3):224-274
[14]李峰.智能交通系统在国外的发展趋势.国外公路,1999
[15]崔文兵.美、欧、日智能交通系统的发展.世界汽车,1999
[16]Masafumi Mori.Getting Around in Japan.The Status and Challenges of ITS.Public Roads,March/April,1999
[17]Hideo Tokuyama.Intelligent Transportation System in Japan.Public Roads.Autumn,1996
[18]张雷,肖梅.我国智能交通运输系统的发展及对策探讨.江苏交通,2003
[19]Barbara A,Kovell.Magnetic sensors for traffic applications Traffic Techology International June/July,1998.107-109
[20]孙震东.一种手持式智能超速违章抓拍系统的设计与实现:[硕士学位论文].成都:电子科技大学,2007
[21]I.S.Kim.Two novel radar vehicle detectors for the replacement of a conventional loop detector.Microwave Journal,2001,4.4(7):22-40
[22]G..Surendra.Detection and classification of vehicles.IEEE Trans,On ITS.2002,3:37-47
[23]安福东.机动车的几种测速方式原理及性能的分析比较.警察技术,2003(3):33-35
[24]David J.Kruglinski,Scot Wingo,George Shepherd.Programming Visual C++6.0技术内幕(第五版).北京希望电子出版社,2001
[25]黄维通.Vivsual C++面向对象与可视化程序设计.清华大学出版社,2003
[26]Jeff Prosise.MFC Windows程序设计(第2版).清华大学出版社,2001
[27]求是科技.Visual C++数字图像处理典型算法及实现.人民邮电出版社.2006
[28]陈体健,陈文智.高速摄像超速抓拍系统在高速公路智能化管理中的应用.工业计算机,2006
[29]蒋大明,李志能.道路车辆监控系统中灯光补偿技术研究.照明工程学报,2005,16(4)
[30]林福文.道路交通卡口监控系统建设初探.中国公共安全,2003,2:67-71
[31]宋颖华.交通检测技术及其发展.公路,2000年.62(9):31-34
[32]Liu Ji-lin,Song Jia-tao.Vehicle license plate recognition system with high performance.Acta Automatica Sinica,2003.29(3):457-465
[33]刘东.ITS中的车辆检测技术.公安大学学报(自然科学版)2000.20(4):37-39
[34]高星文.交通检测器在高速公路中的应用及评价.山西建筑.2002.28(11):125-126
[35]刘利频,温慧英,徐建闽.多类传感器实时交通数据采集和车型的自动分类系统设计.交通与计算机.2005.23(122):71-74
[36]Wang Nian,Li Jie.Segmentation method of multi-level automobile license location.Journal of Anhui University(Natural Science Edition),1999.23(2):57-62
[37]姜紫峰,谭光莉.车辆检测器的发展.西安公路交通大学,1996.3(1):62-65
[38]孙凤,王高爽.车牌识别技术中的触发问题及应用.北方交通,2006.10:71-73
[39]边明军,陈思忠,罗汉军.智能交通系统(ITS)及其发展.武汉理工大学学报,2001.23(1):67-70
[40]李诚.锁相环式环形线圈车辆检测器的研究.河南交通科技,1994年.6(62):31-34
[41]郭兰英.锁相技术的环形线圈车辆检测器的研究.西安公路交通大学学报,1998.18(3):110-112
[42]Dr Durga,P Panda,Mr Richard et al.Image Sensing System Technology Advancement For Adaptive Traffic Management.Florida:ITS World Congress in Orlando,1996
[43]卢湖川,朱矿军.基于视频的交通流参数检测.城市交通,2005.3(2):70-74
[44]Mohan A,Papageorgiou C.Example-based object detection in images by components.IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(4):349-361
[45]E R Lee,P K KIM,H J.Ki.Automatic recognition of a car license plate using color image processing.Procof Internation Conference on Image Processing(ICIP94),1994,12:301-305
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