期刊文献+

Design of object surveillance system based on enhanced fish-eye lens 被引量:2

Design of object surveillance system based on enhanced fish-eye lens
原文传递
导出
摘要 A new method is proposed for the object surveillance system based on the enhanced fish-eye lens and the high speed digital signal processor (DSP). The improved fish-eye lens images an ellipse picture on the charge-coupled device (CCD) surface, which increases both the utilization rate of the 4:3 rectangular CCD and the imaging resolution, and remains the view angle of 183° The algorithm of auto-adapted renewal background subtraction (ARBS) is also explored to extract the object from the monitoring image. The experimental result shows that the ARBS algorithm has high anti-jamming ability and high resolution, leading to excellent object detecting ability from the enhanced elliptical fish-eye image under varies environments. This system has potential applications in different security monitoring fields due to its wide monitoring space, simple structure, working stability, and reliability. A new method is proposed for the object surveillance system based on the enhanced fish-eye lens and the high speed digital signal processor (DSP). The improved fish-eye lens images an ellipse picture on the charge-coupled device (CCD) surface, which increases both the utilization rate of the 4:3 rectangular CCD and the imaging resolution, and remains the view angle of 183° The algorithm of auto-adapted renewal background subtraction (ARBS) is also explored to extract the object from the monitoring image. The experimental result shows that the ARBS algorithm has high anti-jamming ability and high resolution, leading to excellent object detecting ability from the enhanced elliptical fish-eye image under varies environments. This system has potential applications in different security monitoring fields due to its wide monitoring space, simple structure, working stability, and reliability.
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2009年第2期142-145,共4页 中国光学快报(英文版)
关键词 Charge coupled devices Digital cameras Digital signal processors FISH Lenses MEATS Optical instruments Security systems Signal processing Charge coupled devices Digital cameras Digital signal processors Fish Lenses Meats Optical instruments Security systems Signal processing
  • 相关文献

参考文献2

二级参考文献8

  • 1C. Li,,Y. Wei,,and Z. Shi. Proceedings of IEEE International Conference on Robotics, Intelligent Systems and Signal Processing . 2003
  • 2E. P. Simoncelli,,W. T. Freeman,,E. H. Adelson,,and D. J. Heeger. IEEE Trans. Information Theory . 1992
  • 3Y.-S. Moon,,T. Zhang,,Z. Zuo,,and Z. Zuo. Int. J. Pattern Recognition & Artifical Intelligence . 2000
  • 4Y. Li,and C. Xu. J. Huazhong Univ. Sci. Tech. (Nature Science Edition) . 2005
  • 5M. Unser,and T. Blu. Proc. SPIE . 2003
  • 6T. Blu,and M. Unser. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing . 2003
  • 7C. T. Chui.An Introduction to Wavelets[]..1992
  • 8M. Liu.Wavelet Analysis and Its Application[]..2005

共引文献2

同被引文献23

  • 1柴饶军,马彩文,唐自力.基于自适应模板的低信噪比运动目标的自动定位算法(英文)[J].光子学报,2005,34(9):1404-1407. 被引量:4
  • 2薛利军,李自田,李长乐,计忠瑛,崔艳,王忠厚.光谱成像仪CCD焦平面组件非均匀性校正技术研究[J].光子学报,2006,35(5):693-696. 被引量:27
  • 3李哲,苏秀琴,杨小君,张广华.红外运动小目标的检测[J].光子学报,2006,35(6):924-927. 被引量:28
  • 4Kirdly Z, Springer G. S. Stereoscopic vision system[J]. Optical Engineering, 2006, 45(4):0430061-13.
  • 5Courbon J, Mezouar Y, Eck L, et al. A generic fisheye camera model for robotic applications[C]//In Proceeding of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007: 1683-1688.
  • 6Nishimoto T, Yamaguchi. Three Dimensional Measurement Using Fisheye Stereo Vision[C]//In proceeding SICE Annual Conference, 2007:2008-2012.
  • 7LI Shi-gang. Full-View Spherical Image Camera[C]//The 18th International Conference on Pattern Recognition, 2006 : 386-310.
  • 8CHANG Cheng-chi, CHIA Tsorng-Lin, YANG Chen-Kuei. Modified temporal difference method for change detection [J]. Optical Engineering, 2005, 44(2): 027001-10.
  • 9Elgammal A, Harwood D, Davis L. Non-parametric model for background subtraetion[C]//In ECCV, 2000: 751-757.
  • 10Ebine T, Hamada N. Detection of moving objects using observer motion-based optical flow estimation[J]. Systems and Computers in Japan, 2002, 33(6) : 83-92.

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部