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目标定位图像中心新方法*
引用本文:于明,冀中,顾洁,王建平.目标定位图像中心新方法*[J].计算机应用研究,2006,23(1):252-254.
作者姓名:于明  冀中  顾洁  王建平
作者单位:河北工业大学,信息学院,天津,300130
摘    要:利用人工神经网络,无需对摄像机进行预标定,只要给出目标在计算机图像中的坐标点,就可直接得出摄像机云台水平和垂直需要调整的角度,将目标定位在图像中心。理论和实验证明,该方法比传统方法硬件要求低,算法简单,精度高。

关 键 词:目标跟踪  定位  摄像机标定  人工神经网络
文章编号:1001-3695(2006)01-0252-03
收稿时间:2004-08-12
修稿时间:2005-03-14

A New Approach of Locating Moving Object in Computer Image Center
YU Ming,JI Zhong,GU Jie,WANG Jian-ping.A New Approach of Locating Moving Object in Computer Image Center[J].Application Research of Computers,2006,23(1):252-254.
Authors:YU Ming  JI Zhong  GU Jie  WANG Jian-ping
Affiliation:School of Information, Hebei University of Technology, Tianjin 300130, China
Abstract:Using artificial neural network, it can compute both the vertical and the horizontal rotation angles the pan-tilt-zoom camera needs to adjust when the object coordinate in the computer image is given. And what is more, it does not require the pre-calibration of the camera. The experimental error is about 10 pixels. Comparing with the traditional approaches, theoretical and experimental results show that this approach has more simple hardware and algorithm demands but more precision. It can be used in moving object tracking system.
Keywords:Object Tracking  Localization  Camera Calibration  Artificial Neural Network(ANN)
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