Feature Extraction Based on Color Difference Algorithm for Moving Target Detection System

Xu Hu; Xiao Bo Mao

doi:10.4028/www.scientific.net/AMM.321-324.771

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Feature Extraction Based on Color Difference...

Feature Extraction Based on Color Difference Algorithm for Moving Target Detection System

Abstract:

To improve the accuracy and robustness of the moving object detection in the image sequence, the author improves the traditional algorithm which is based on the gray-value difference. The author makes good use of the color information of images and applies the pixels in red, green, blue the three component value as its identifying information. According to the background image color composition, it adapts and adjusts the proportion of the three groups. Dynamic threshold is used to do the binarization separation of the background difference image. The simulation experiment shows, this algorithm makes full use of the color features of image and achieve the expected goal of high recognizability and good robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

771-774

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.771

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Online since:

June 2013

Authors:

Xu Hu, Xiao Bo Mao

Keywords:

Color Extraction, Dynamic Threshold, Moving Target Detection, Weight Assignment

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References

[1] Barron J L, Fleet D J . Performance of optical flow techniques[J]. International Journal of Computer Vision,1994,12(1):42- 77.

Google Scholar

[2] Meyer D,Denzler J,Niemann H.Model based extraction of articulated objects in images equences for gait analysis[A].In:Proc IEEE International Conference on Image Processing[C]. Santa Barbara,California,1997:78-81.

DOI: 10.1109/icip.1997.631988

Google Scholar

[3] Zhang Yigang,Cao Yang,Xiang Xuezhi.Moving targets detection of static background subtraction[J].Journal of Electronic Measurement and Instrument,2010,24(5):294-299.

DOI: 10.3724/sp.j.1187.2010.00494

Google Scholar

[4] Zeng Mai,Zuo Zhihong.An accurate and rapid moving target detection algorithm[J].Journal of Chengdu University of Information Technology,2008,23(4):370-373.

Google Scholar

[5] Qu Jubao，Lin Hongji，Liang Hongtao，Liu Sheng．The research of Moving images fast track technology[J]．Journal of Chongqing Normal University,2011,28(1):44-48.

Google Scholar

[6] Yao Bin,Shi Ping.The Method of Eliminates Shadow Using The Greatest Chromaticity Difference[J].Journal of Communication University of China,2009,16(1):75-78.

Google Scholar

[7] Shen Panpan,Fan Feng,Wu Reiqin.Moving Object Detection Based on Separating Three-channel and Background Subtraction[J].Video Application&Project,2012,36(3):137-140.

Google Scholar