2019-02-19 Welcome guest,  Sign In  |  Sign Up
Chin. Opt. Lett.
 Home  List of Issues    Issue 02 , Vol. 07 , 2009    10.3788/COL20090702.0142

Design of object surveillance system based on enhanced fish-eye lens
Jianhui Wu, Kuntao Yang, Qiaolian Xiang, Nanyang Zhang
College of Optoelectronic Science and Engineering, [Huazhong University of Science and Technology], Wuhan 430074

Chin. Opt. Lett., 2009, 07(02): pp.142-145-4

Topic:Imaging systems
Keywords(OCIS Code): 110.2970  220.3630  220.4830  250.0040  

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 degree. 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.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 View PDF (710 KB)


Posted online:

Get Citation: Jianhui Wu, Kuntao Yang, Qiaolian Xiang, Nanyang Zhang, "Design of object surveillance system based on enhanced fish-eye lens," Chin. Opt. Lett. 07(02), 142-145-4(2009)

Note: E-mail: wujhlf@yahoo.com.cn


1. Z. Zhu, G. Xu, B. Yang, D. Shi, and X. Lin, Image and Vision Computing 18, 781 (2000).

2. I. Haritaoglu, D. Harwood, and L. S. Davis, IEEE Trans. Pattern Anal. Machine Intell. 22, 809 (2000).

3. Z. Király, G. S. Springer, and J. Van Dam, Opt. Eng. 45, 043006 (2006).

4. J. Courbon, Y. Mezouar, L. Eck, and P. Martinet, in Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems 1683 (2007).

5. T. Nishimoto and J. Yamaguchi, in Proceedings of SICE Annual Conference 2007 2008 (2007).

6. S. Li, in Proceedings of the 18th International Conference on Pattern Recognition 386 (2006).

7. S. Thibault, J. Gauvin, M. Doucet, and M. Wang, Proc. SPIE 5962, 596211 (2005).

8. J. Sun, Q. Li, W. Lu, and Q. Wang, Chinese J. Lasers (in Chinese) 33, 1467 (2006).

9. B. Cheng, Q. Wu, H. Su, and J. Zhou, Opto-Electron. Engineer. (in Chinese) 31, (4) 35 (2004).

10. L. Ren, S. Ma, and F. Li, (eds.) Principle and Application of TMS320C6000 DSP System (in Chinese) (Publishing House of Electronics Industry, Beijing 2000).

11. X. Xiao, G. Yang, and J. Bai, Acta Opt. Sin. (in Chinese) 28, 675 (2008).

12. Y. Altunbasak, R. M. Mersereau, and A. J. Patti, IEEE Trans. Image Process. 12, 395 (2003).

13. J. Gauvin, M. Doucet, M. Wang, S. Thibault, and B. Blanc, Proc. SPIE 5874, 587404 (2005).

14. P. Zhang and J. Li, Chin. Opt. Lett. 4, 697 (2006).

15. M. Seki, H. Fujiwara, and K. Sumi, in Proceedings of IEEE Applications of Computer Vision 207 (2000).

Save this article's abstract as
Copyright©2018 Chinese Optics Letters 沪ICP备15018463号-7 公安备案沪公网安备 31011402005522号