Improvement of sub region matching illumination transfer in hybrid shadow removal method for moving vehicle video

  • Authors

    • Budi Setiyono Department of Mathematics - Institut Teknologi Sepuluh Nopember - Surabaya - Indonesia
    • Dwi Ratna Sulistyaningrum Department of Mathematics - Institut Teknologi Sepuluh Nopember - Surabaya - Indonesia
    • Soetrisno . Department of Mathematics - Institut Teknologi Sepuluh Nopember - Surabaya - Indonesia
    • Hasanuddin Al-Habib Department of Mathematics - Institut Teknologi Sepuluh Nopember - Surabaya - Indonesia
    2018-09-24
    https://doi.org/10.14419/ijet.v7i4.13725
  • Shadow Removal, Gaussian Mixture Model, Gamma-Decoding Method, Intelligent Transportation System, Moving Object.

  • Abstract

    Intelligent Transportation System (ITS) is a concept to manage transportation based on technology development. Video from surveillance cameras can be used for monitoring the number of vehicles and speed using digital image processing. Shadows on the vehicle is one of the noise that must be removed in order to obtain better accuracy. Shadow is caused by the reflection of objects exposed to the light. In this study, we combined two methods to eliminate shadows on moving vehicle, the subregion illumination transfer method and the background-based Gaussian mixture model. Foreground image is used for sub-Region Illumination Transfer and gamma decoding processes is used to detect the presence of shadows The detected shadow is removed by replacing it with the background in that position. Experiments are done by making simulated video of moving objects without shadows and objects that have a shadow. By using the proposed method, the shadow will be omitted, and the results are compared with the object without the shadow. The experimental results are: mean value of PSNR for objects moving closer to the camera with a light intensity of 0.8 is 53.47. While on the moving object with a small shadow area, we obtained an average PSNR of 51.87927dB.

     

     

  • References

    1. [1] C. Xiao, D. Xiao, L. Zhang, and L. Chen, “Efficient shadow removal using subregion matching illumination transfer,†Comput. Graph. Forum, vol. 32, no. 7, pp. 421–430, 2013. https://doi.org/10.1111/cgf.12250.

      [2] B. Setiyono, D. . . Sulistyaningrum, Soetrisno, F. Fajriyah, and D. W. Wicaksono, “Vehicle speed detection based on Gaussian mixture model using sequential of images,†vol. 890, no. 1, pp. 0–6, 2017.

      [3] D. a Reynolds, “Gaussian Mixture Models,†Encycl. Biometric Recognit., vol. 31, no. 2, pp. 1047–64, 2008.

      [4] A. Agostini and E. Celaya, “Reinforcement Learning with a Gaussian mixture model,†2010 Int. Jt. Conf. Neural Networks, pp. 1–8, 2010.

      [5] T. Huang, H. Peng, and K. Zhang, “Model Selection for Gaussian Mixture Models,†pp. 1–27, 2013.

      [6] B. Setiyono, D. Sulistyaningrum, I. Muhlash, and R. Augusta, “A New Approach Algorithm for Counting of Vehicles Moving Based On Image Processing,†Int. J. Comput. Sci. Inf. Secur., vol. 14, no. 10, pp. 366–370, 2016.

      [7] B. Setiyono, D. . . Sulistyaningrum, Soetrisno, F. Fajriyah, and D. W. Wicaksono, “Vehicle speed detection based on Gaussian mixture model using sequential of images,†vol. 890, no. 1, 2017.

      [8] D. W. Wicaksono and B. Setiyono, “Speed Estimation On Moving Vehicle Based On Digital Image Processing,†Int. J. Comput. Sci. Appl. Math., vol. 3, no. 1, pp. 21–26, 2017. https://doi.org/10.12962/j24775401.v3i1.2117.

      [9] M. Taha, H. H. Zayed, M. E. Khalifa, and T. Nazmy, “Moving Shadow Removal for Multi-Objects Tracking in Outdoor Environments,†Int. J. Comput. Appl., vol. 97, no. 10, pp. 43–51, 2014.

      [10] H. Prajapati, S. Longowal, B. Singh, and S. Longowal, “An Approach for Shadow Removal in Moving Object,†Int. J. Comput. Sci. Inf. Secur., vol. 14, no. 8, pp. 781–790, 2016.

      [11] Y. Habibi, D. R. Sulistyaningrum, and B. Setiyono, “A new algorithm for small object tracking based on super-resolution technique,†AIP Conf. Proc., vol. 1867, 2017.

      [12] A. Prati, I. Mikic, M. M. Trivedi, and R. Cucchiara, “Detecting moving shadows: Algorithms and evaluation,†IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 7, pp. 918–923, 2003. https://doi.org/10.1109/TPAMI.2003.1206520.

      [13] Y. W. Shou, C. T. Lin, C. T. Yang, and T. K. Shen, “An efficient and robust moving shadow removal algorithm and its applications in ITS,†EURASIP J. Adv. Signal Process., vol. 2010, 2010.

      [14] R. Hobbs, DIGITAL VIDEO AND HD- ALGORITHMS AND INTERFACES, SECOND EDI. No. November. Morgan Kaufmann Publishers, 2010.

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  • How to Cite

    Setiyono, B., Ratna Sulistyaningrum, D., ., S., & Al-Habib, H. (2018). Improvement of sub region matching illumination transfer in hybrid shadow removal method for moving vehicle video. International Journal of Engineering & Technology, 7(4), 2678-2683. https://doi.org/10.14419/ijet.v7i4.13725

    Received date: 2018-06-05

    Accepted date: 2018-09-16

    Published date: 2018-09-24