MOTION DETECTION USING CURVATURE MAP AND TWO-STEP BIMODAL SEGMENTATION

  • Lee, Suk-Ho (DEPT. MULTIMEDIA ENGINEERING, DONGSEO UNIVERSITY)
  • Received : 2009.07.16
  • Accepted : 2009.10.13
  • Published : 2009.12.25

Abstract

In this paper, a motion detection algorithm which works well in low illumination environment is proposed. By using the level set based bimodal motion segmentation, the algorithm obtains an automatic segmentation of the motion region and the spurious regions due to the large CCD noise in low illumination environment are removed effectively.

Keywords

References

  1. P.L Rosin and T. Ellis. "Image difference threshold strategies and shadow detection," In Proceedings of the 6th British Machine Vision Conference, pp. 347–356, BMVA Press, 1995.
  2. S.H. Lee and J.K. Seo, "Level Set-Based Bimodal Segmentation With Stationary Global Minimum," IEEE Trans. on Image Processing, vol. 15, no. 9, pp. 2843–2852, Sep. 2006. https://doi.org/10.1109/TIP.2006.877308
  3. Gibou, F. and Fedkiw, R., "A Fast Hybrid k-Means Level Set Algorithm for Segmentation," 4th Annual Hawaii International Conference on Statistics and Mathematics, pp. 281–291, Stanford Technical Report, Nov. 2002.
  4. T.F. Chan and L.A. Vese, "Active contours without edges," IEEE Trans. on Image Processing, vol. 10, no. 2, pp. 266–277, Feb. 2001. https://doi.org/10.1109/83.902291