A Calculating Method for Adaptive Human Shadows Moving Target Detection Algorithm

Article Preview

Abstract:

Based on the analysis of video images HSV differential and differential histogram chart and its pixel distribution histogram goals and shadow, this paper raises an Otsu method based on weighted shadow detection algorithm. The experiment shows this calculating method is featured by high detection precision, good effect, adaptability, easy realization of the project.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

255-259

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Dong Xu, Jianzhuang Liu, Li, X, Zhengkai Liu, et al Insignificant shadow detection for video segmentation[C]. Circuits and Systems for Video Technology, IEEE Transactions 2011, 15(8): 1058 ~1064.

DOI: 10.1109/tcsvt.2005.852402

Google Scholar

[2] Jia Yunde. Machine Vision , Image and Graphics Science Series . Science press. 2013:155~157.

Google Scholar

[3] HAO Ying-ming, ZHU Feng. Fast Algorithm for Two-dimensional Otsu Adaptive Threshold Algorithm[J]. Journal of Image and Graphics, 2005, 10(4): 484~488.

Google Scholar

[4] Otsu N. A threshold selection method from gray-level histogram s[J]. IEEE Transaction on System Man and Cybernetic, 1979, 9(1):62~66.

Google Scholar

[5] Xia Liangzheng. Digital Image Processing [M]. NanJing Southeast University Press, (1999).

Google Scholar