21 July 2017 Moving target detection method based on improved Gaussian mixture model
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042014 (2017) https://doi.org/10.1117/12.2282506
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
Gaussian Mixture Model is often employed to build background model in background difference methods for moving target detection. This paper puts forward an adaptive moving target detection algorithm based on improved Gaussian Mixture Model. According to the graylevel convergence for each pixel, adaptively choose the number of Gaussian distribution to learn and update background model. Morphological reconstruction method is adopted to eliminate the shadow.. Experiment proved that the proposed method not only has good robustness and detection effect, but also has good adaptability. Even for the special cases when the grayscale changes greatly and so on, the proposed method can also make outstanding performance.
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J. Y. Ma, J. Y. Ma, F. R. Jie, F. R. Jie, Y. J. Hu, Y. J. Hu, } "Moving target detection method based on improved Gaussian mixture model", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042014 (21 July 2017); doi: 10.1117/12.2282506; https://doi.org/10.1117/12.2282506
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