The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
권호 표지

De-blurring Algorithm for Performance Improvement of Searching a Moving Vehicle on Fisheye CCTV Image

어안렌즈사용 CCTV이미지에서 차량 정보 수집의 성능개선을 위한 디블러링 알고리즘

  • Received : 2009.06.19
  • Accepted : 2010.03.03
  • Published : 2010.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

When we are collecting traffic information on CCTV images, we have to install the detect zone in the image area during pan-tilt system is on duty. An automation of detect zone with pan-tilt system is not easy because of machine error. So the fisheye lens attached camera or convex mirror camera is needed for getting wide area images. In this situation some troubles are happened, that is a decreased system speed or image distortion. This distortion is caused by occlusion of angled ray as like trembled snapshot in digital camera. In this paper, we propose two methods of de-blurring to overcome distortion, the one is image segmentation by nonlinear diffusion equation and the other is deformation for some segmented area. As the results of doing de-blurring methods, the de-blurring image has 15 decibel increased PSNR and the detection rate of collecting traffic information is more than 5% increasing than in distorted images.

CCTV이미지에서 교통정보를 수집하려고 할 때 관측자가 카메라를 움직이면 설치된 검지영역이 손실되고 복원하려고 해도 기계적 오차로인해 어려움을 겪게 된다. 그래서 어안이나 거울을 이용하면 카메라를 움직이지 않아도 된다. 하지만 이러한 상황하에서 가장 큰 문제점은 영상의 왜곡이다. 본 논문에서는 이러한 왜곡을 극복하기 위해 비선형 확산 방정식을 이용한 분할과 이 영역에디포메이션을 적용하여 디블러링 한 후 차량정보 수집을 시도한 결과 이전 결과보다 5% 향상된 결과를 얻었다.

Keywords

Acknowledgement

Supported by : 호서대학교

References

  1. S. Namkoong, H. Tanikella, B. Smith, "Design and Field Evaluation of a System Integrating CCTV Surveillance with Video Image Vehicle Detection Systems (VIVDS)," Paper submitted for presentation at the 2005 Annual Meeting of the Transportation Research Board and publication in the Transportation Research Record, 2004. 7.
  2. Pack, M.L., "Automatic Camera Repositioning Techniques for Integrating CCTV Traffic Surveillance Systems With Video Image Vehicle Detection Systems," Masters Thesis in Engineering, University of Virginia, Charlottesville, VA, 2002.
  3. In J. Lee, Joon Y. Min, "Development of an Algorithm for Automatic Installation of Detection Area in CCTV Image on Highways," Proc. of the International Conference on Image Science, Systems and Technology, Jun., 26-29, 2000, pp.381-386.
  4. Kenichi W. et. al. "A Study on Sensing System for Running Road Surface Conditions in ITS," Proceedings of 10th World Congress on Intelligent Transport Systems, Madrid, Spain, Nov., 2003.
  5. Sang H. Jung, "A Study on the Graphic Compensation of Warping Image Induced to Wide Angle Lens," Masters Thesis in Industry and Engineering, Seoul National University of Technology, 2003.
  6. T.F. Chan, G.H. Golub, P. Mulet, "A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration," SIAM Journal on Scientific Computing, Vol.20, No.6, 1999, p.1964. https://doi.org/10.1137/S1064827596299767
  7. T. F. Chan, C. K. Wong, "Total Variation Blind De-convolution," IEEE Transactions on Image Processing, Vol.7, No.3, 1998, p.370. https://doi.org/10.1109/83.661187
  8. A. Marquina, S. Osher, "Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal," UCLA CAM Report 99-5, Department of Mathematics, University of California, Los Angeles, 1999.
  9. N. Moayeri, K. Konstantinides, "An Algorithm for Blind Restoration of Blurred and Noisy Images," Technical Report HPL-96-102, Hewlett- Packard, 1996.
  10. Dupont, T. L, "Estimates for Galerkin methods for second-order hyperbolic equations," SIAM J.Numer.Anal. 10, 392-410, 1973.
  11. Claudio Canuto M.Yousuff Hussaini Alfio Quarteroni Thomas A. Zang, "Spectral Methods in Fluid Dynamics," Springer_Verlag, 1988.
  12. Yves Truginy, "Product approximation for nonlinear Klein Gordon equations," IMA journal of Numerical Analysis. 9, 449-462, 1990.
  13. In-Jung Lee, "Numerical Solution for Nonlinear Klein-Gordon Equation by Using Lagrange Polynomial Interpolation with a Trick," The KIPS Transactions Part A, Vol.11-A No.7, 2004, pp.571-576.
  14. In J. Lee, Seong J. Namkoong, Joon Y. Min, "Expanding Degree of View of CCTV Camera Video Image and De-blurring with Nonlinear Equation". Proceedings of 10th World Congress on Intelligent Transport Systems Oct., 9-12, 2007, pp.485-489.
  15. I. pollak, A. S. Willsky, "Image Segmentation and Edge Enhancement with Stabilized Inverse Diffusion Equations." IEEE Transactions on Image Processing, Vol.9, No.2, 256-266, 2000. https://doi.org/10.1109/83.821738
  16. B. B. Kimia, K. Siddiqi, "Geometric Heat Equation and Nonlinear Diffusion of Shapes and Images. Computer Vision and Image Understanding." Vol.64, No.3, pp.305-322, 1996. https://doi.org/10.1006/cviu.1996.0062
  17. K. Yamazawa, N. Yokoya, " Detecting Moving Objects from Omnidirectional Dynamic Images Based on Adaptive background Subtraction." ICIP2003, pp.210-215, 2003.
  18. H. Huang, H. Hong, "Estimation of Omnidirectional Camera Model with One Parametric Projection," LNCIS 345, pp.827-833, 2006.