[1] Yang Xin, , Liu Jia, et al. Adaptive moving target detection algorithmbased on Gaussian mixture model [J]. Journal of Southeast University (English Edition), 2013, 29 (4): 379-383. [doi:10.3969/j.issn.1003-7985.2013.04.005]

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Adaptive moving target detection algorithmbased on Gaussian mixture model()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

29

Issue:

2013 4

Page:

379-383

Research Field:

Computer Science and Engineering

Publishing date:

2013-12-20

Info

Title:

Adaptive moving target detection algorithmbased on Gaussian mixture model

Author(s):

Yang Xin¹;  2;  3;  Liu Jia¹;  Fei Shumin²;  Zhou Dake¹

¹College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
²School of Automation, Southeast University, Nanjing 210096, China
³Key Laboratory of Photoelectric Control Technology, Luoyang 471000, China

Keywords:

moving target detection;  Gaussian mixture model;  background subtraction;  adaptive method

PACS:

TP391.41

DOI:

10.3969/j.issn.1003-7985.2013.04.005

Abstract:

In order to enhance the reliability of the moving target detection, an adaptive moving target detection algorithm based on the Gaussian mixture model is proposed. This algorithm employs Gaussian mixture distributions in modeling the background of each pixel. As a result, the number of Gaussian distributions is not fixed but adaptively changes with the change of the pixel value frequency. The pixels of the difference image are divided into two parts according to their values. Then the two parts are separately segmented by the adaptive threshold, and finally the foreground image is obtained. The shadow elimination method based on morphological reconstruction is introduced to improve the performance of foreground image’s segmentation. Experimental results show that the proposed algorithm can quickly and accurately build the background model and it is more robust in different real scenes.

References:

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[9] Xia Y Q, Ning S H, Shen H. Moving targets detection algorithm based on background subtraction and frames subtraction[C]//IEEE International Conference on Industrial Mechatronics and Automation. Wuhan, China, 2010: 122-125.
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Memo

Memo:

Biography: Yang Xin(1978—), male, doctor, associate professor, yangxin@nuaa.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61172135, 61101198), the Aeronautical Foundation of China(No.20115152026).
Citation: Yang Xin, Liu Jia, Fei Shumin, et al. Adaptive moving target detection algorithm based on Gaussian mixture model[J].Journal of Southeast University(English Edition), 2013, 29(4):379-383.[doi:10.3969/j.issn.1003-7985.2013.04.005]

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