基于多制式网络便携可定位实时多媒体传输系统
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摘要
设计了一种基于多种制式网络的便携信息传输系统,通过多种制式无线网络进行信息数据的实时传输,实现了在不同层面上的复杂不确定网络情况的系统应用。数据采集端体积小巧、携带方便,极大地增加了信息数据采集作业的灵活性,更能适应多种复杂的工作环境。服务中心同时对多个数据采集端进行实时视频语音通信和定位监控,并通过对视频图像进行直观背景提取、动态物体识别和人脸标定,使对现场环境分析更加准确快速。
This paper designs a portable information transmission system based on a variety of standard network,which is compatible with a variety of standard wireless network for real-time transmission of information data,and achieves application in different levels of complex uncertain situation.The data acquisition system is easy to carry,which greatly increasing the flexibility of information data acquisition operations,and can adapt to a variety of complex work environment.The service center can monitor many terminals,subtract video images sent back from terminals,dynamic recognize object and calibrate face,therefore it provide a good reference to analysis more quickly and accurately.
This paper designs a portable information transmission system based on a variety of standard network,which is compatible with a variety of standard wireless network for real-time transmission of information data,and achieves application in different levels of complex uncertain situation.The data acquisition system is easy to carry,which greatly increasing the flexibility of information data acquisition operations,and can adapt to a variety of complex work environment.The service center can monitor many terminals,subtract video images sent back from terminals,dynamic recognize object and calibrate face,therefore it provide a good reference to analysis more quickly and accurately.
引文
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[2]张毓丰,邓民宪.地震现场应急救援的通信系统设计[J].灾害学,2005,20(4):111-115.ZHANG Yu-feng,DENG Min-xian.The earthquake emergency rescue communication system design[J].Journal of Catastrop-hology,2005,20(4):111-115.(in Chinese)
[3]Ahmed Patel,Kevin Gaffney.A technique for multi-network access to multimedia messages[J].Computer Communications,1997,20(5):324-337.
[4]孙鑫.VC++深入详解[M].北京:电子工业出版社,2006.
[5]Vaughan-Nichols.Achieving wireless broadband with WiMax[J].Computer,2004,37(6):10-13.
[6]Greg Welch,Gary Bishop.An introduction to the Kalman filter[D].NC:University of North Caralina at Chapel Hill,1995
[7]Djuric P M,Kotecha J H,ZHANG J.Particle filtering[J].Signal Processing,2003,20(5):19-38.
[8]Andrieu C,Doucet A,Touzni A.Adaptive MAP multi-user detection for fading CDMA channels[C]//Proceedings of the TenthIEEE Workshop on SSAP.PA:IEEE,2000.
[9]Arulampalam M S,Maskell S,Gordon N.A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J].IEEE,2002,50(1):174-188.
[10]CHEN R,LIU J S.Mixture Kalman filters[J].Journal of the Royal Statistical Society,2000,62(1):493-508.
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