Share Email Print
cover

Proceedings Paper

Moving target detection method based on improved Gaussian mixture model
Author(s): J. Y. Ma; F. R. Jie; Y. J. Hu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042014 (21 July 2017); doi: 10.1117/12.2282506
Show Author Affiliations
J. Y. Ma, Science and Technology on Electro-Optic Control Lab. (China)
Luoyang Institute of Electro-optical Equipment (China)
F. R. Jie, Science and Technology on Electro-Optic Control Lab. (China)
Luoyang Institute of Electro-optical Equipment (China)
Y. J. Hu, Science and Technology on Electro-Optic Control Lab. (China)
Luoyang Institute of Electro-optical Equipment (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top