| Digital Signal Processing Based Real Time Vehicular Detection System |
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| 作者姓名： | 杨兆选 林涛 李香萍 刘春义 高健 |
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| 作者单位： | [1]SchoolofElectronicInformationEngineering,TianjinUniversity,Tianjin300072,China [2]TianjinHuahaiComputerTechnologyCompany,Tianjin300072,China |
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| 基金项目： | SupportedbyScienceDevelopmentFoundationofTianjin(No.033183311). |
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| 摘 要： | Traffic monitoring is of major importance for enforcing traffic management policies. To accomplish this task, the detection of vehicle can be achieved by exploiting image analysis techniques. In this paper, a solution is presented to obtain various traffic parameters through vehicular video detection system( VVDS). VVDS exploits the algorithm based on virtual loops to detect moving vehicle in real time. This algorithm uses the background differencing method, and vehicles can be detected through luminance difference of pixels between background image and current image. Furthermore a novel technology named as spatio-temporal image sequences analysis is applied to background differencing to improve detection accuracy. Then a hardware implementation of a digital signal processing (DSP) based board is described in detail and the board can simultaneously process fourchannel video from different cameras. The benefit of usage of DSP is that images of a roadway can be processed at frame rate due to DSP‘s high performance. In the end, VVDS is tested on realworld scenes and experiment results show that the system is both fast and robust to the surveillance of transportation.
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| 关 键 词： | 数字信号处理技术 智能交通系统 汽车 服务器 网络 计算机技术 |
Digital Signal Processing Based Real Time Vehicular Detection System |
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| YANG Zhaoxuan,LIN Tao,LI Xiangping,LIU Chunyi,GAO Jian.Digital Signal Processing Based Real Time Vehicular Detection System[J].Transactions of Tianjin University,2005,11(2):119-124. |
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| Authors: | YANG Zhaoxuan LIN Tao LI Xiangping LIU Chunyi GAO Jian |
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| Institution: | 1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
2. Tianjin Huahai Computer Technology Company, Tianjin 300072, China |
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| Abstract: | Traffic monitoring is of major importance for enforcing traffic management policies.To accomplish this task,the detection of vehicle can be achieved by exploiting image analysis techniques.In this paper,a solution is presented to obtain various traffic parameters through vehicular video detection system(VVDS).VVDS exploits the algorithm based on virtual loops to detect moving vehicle in real time.This algorithm uses the background differencing method,and vehicles can be detected through luminance difference of pixels between background image and current image.Furthermore a novel technology named as spatio-temporal image sequences analysis is applied to background differencing to improve detection accuracy.Then a hardware implementation of a digital signal processing (DSP) based board is described in detail and the board can simultaneously process four-channel video from different cameras. The benefit of usage of DSP is that images of a roadway can be processed at frame rate due to DSP′s high performance.In the end,VVDS is tested on real-world scenes and experiment results show that the system is both fast and robust to the surveillance of transportation. |
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| Keywords: | intelligent transportation system vehicular detection digital signal processing loop emulation background differencing |
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