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基于坐标变换的视频跟踪误差角的计算方法 被引量:1

Angle error algorithm for video tracking based on coordinate transform
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摘要 推导的算法主要用于两轴转台的视频跟踪。一般情况下,在进行视频跟踪时,常用目标相对视场中心的夹角来直接修正转台的方位角和俯仰角,这种粗略的计算方法仅当俯仰角在零值附近时有很好的近似度,俯仰角越大误差越大。文章基于坐标变换理论建立数学模型,分析推导所得的计算方法适用性强(各个象限均可计算)、精度高、输入输出明确。 The algorithm developed in this article is mainly used in video tracking of two-axis turntable.The methods using angle deviation between target and the video center to correct the azimuth and pitching angle error directly can achieve good performance only when the pitching angle is close to zero.Large pitching angle will result in big error.To resolve the problem,a mathematic model based on coordinate transform was made,and the new algorithm based on the model can be used in any situation with high precision,and the inputs and outputs of the algorithm is definite.
出处 《激光与红外》 CAS CSCD 北大核心 2011年第4期459-461,共3页 Laser & Infrared
关键词 视频跟踪 两轴转台 误差角 video tracking two-axis turntable angle error
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参考文献5

  • 1Craig J J. Introduction to robotics [ M ]. New York : Addison-Wesky Publishing Co. , 1989.
  • 2Fu K S, Gonzalez R C, Lee C S G. Robotics: Sensing, Vision and Intelligence [ M ]. New York: McGraw-Hill Book Co. , 1987.
  • 3Paul R. Robot Manipulators : Mathematics, Programming, and Control[ M]. Massachusetts :The MIT Press, 1981.
  • 4Asada H, Stotine J J. Robot Analysis and Control [ M ]. Hoboken : Wiley, 1986.
  • 5Hunt K H. Kinematic Geometry of Mechanisms [ M ]. Oxford : Clarendon Press, 1978.

同被引文献16

  • 1代科学,李国辉,涂丹,袁见.监控视频运动目标检测减背景技术的研究现状和展望[J].中国图象图形学报,2006,11(7):919-927. 被引量:169
  • 2Hu Hannan. The research on target identification technique of shipping traffic TV survey image [ J ]. Journal of Shanghai Scientific Research Institute of Shipping,2001, 24(1) :3 -9.
  • 3Kamijo S, Matsushita Y. Traffic monitoring and accident detection at intersections [ C ]//Proceedings of the 1999 IEEE/IEFA/JSAI International Conference on Intelligent Transportation Systems, Japan: Tokyo, 1999:70 - 78.
  • 4Haritaoglu I, Harwood D, Davis L. W 4 : Real-time surveillance of people and their activities [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (8) :809 -830.
  • 5Zhou Kang,Tong Xiaojun,Xu Jin. An algorithm of sticker DNA chip model on making spanning tree problem[ C ]// Proceeding of the 5^th International Conference on Machine Learning and Cybernetics. Dalian, China, 2006 : 4287 - 4292.
  • 6Stauffer C, Grimson W E L. Learning patterns of activity using real-time tracking [ J ]. IEEE Trans. PAMI, 2000,22 (8) :747 -757.
  • 7Power P W, Schooners J A. Understanding background mixture models for foreground segmentation [ C ]// Pro- ceedings of Image and Vision Computing. Auckland, New Zealand : Amuck and University Press,2002 : 267 - 271.
  • 8Ribaric S, Adrinek G, Segvic S. Real-time active visual tracking system[ C ]//IEEE Melecon. Vol. 1. May,2004: 231 - 234.
  • 9Barron J L, Beauchemin S S, Fleet D J. On optional flow [ C ]//6 Int. Conf. on Artificial Intelligence and Information Control Systems of Robots. Bratislava, Slovakia, 1994 : 3 - 14.
  • 10Koller D,Weber J, Huang T, et al. Towards robust automatic traffic scene analysis in real-time[ C ]. The 12^th International Computer Vision & Image Processing Conference, 1994 : 126 - 131.

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