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基于双麦克风声源定位的视频跟踪
引用本文:赵熙,崔广新,李磊,郑国恒.基于双麦克风声源定位的视频跟踪[J].现代电子技术,2013(24):111-113,117.
作者姓名:赵熙  崔广新  李磊  郑国恒
作者单位:[1]河南省计量科学研究院,河南郑州450008 [2]郑州大学物理工程学院,河南郑州450001
摘    要:声源定位跟踪技术在当今社会有着越来越广泛的应用。在此使用两个高灵敏度麦克风作为传感器,配以音频信号处理芯片,接收音频信号并进行模数转换,使用FPGA器件作为核心控制器,结合TDOA算法和ILD算法,实现在室内环境下、二维平面内的声源定位。并根据声源定位的信息驱动摄像头转动,使其一直对准于声源所在位置,并保持持续跟踪。FPGA使用NiosII内核,方便使用高级语言进行程序设计。摄像头的视频输出信号可接于PC机或其他视频设备。与其他定位算法相比。系统减少了使用传感器的数量。

关 键 词:双麦克风  声源定位  FPGA  Nios  II

Vedio trackin2 based on sound localization of dual microphone
ZHAO Xi,CUI Guang-xin,LI Lei,ZHENG Guo-heng.Vedio trackin2 based on sound localization of dual microphone[J].Modern Electronic Technique,2013(24):111-113,117.
Authors:ZHAO Xi  CUI Guang-xin  LI Lei  ZHENG Guo-heng
Affiliation:1.Henan Province Institute of Metrology, Zhengzhou 450008, China; 2.College of Physical Engineering, Zhengzhou University, Zhengzhou 450001, China)
Abstract:The technologies of sound source location and tracking have been used more and more widely in our modern society. An equipment that could be used for sound source location and tracking in two-dimension plane in indoor environment is described in this paper, in which two high-sensitivity microphones is used as sensors and the audio signal processing chip is em- ploied to receive audio signal and execute analog-to-digital conversion. The FPGA device is taken as the main controller to realize sound source location in two-dimension plane in indoor environment by means of TDOA algorithm and ILD algorithm. The camera is turned according to the sound source location information, so that the camera aims at the sound source location all the time and maintains continuous tracking. The Nios II is used in the FPGA for making the program design easy. The video output signals of the camera can be send to the PC or other video devices. Compared with other positioning algorithms, the number of sensor in the system was reduced.
Keywords:dual microphone  sound localization  FPGA  Nios II
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