Previous [ 1] [ 2] [ 3] [ 4] [ 5] [ 6] [ 7] [ 8] [ 9] [ 10] [ 11] [ 12] [ 13] [ 14] [ 15] [ 16] [ 17] [ 18] [ 19]

@

Journal of Information Science and Engineering, Vol. 30 No. 6, pp. 1965-1984 (November 2014)


Hybrid Codebook Model for Foreground Object Segmentation and Shadow/Highlight Removal*


I-TING SUN1, SHIH-CHUNG HSU1 AND CHUNG-LIN HUANG1,2
1Department of Electrical Engineering
National Tsing Hua University
Hsinchu, 300 Taiwan
2Department of Applied Informatics and Multimedia
Asian University
Taichung, 413 Taiwan
E-mail: clhuang@asia.edu.tw

Real-time foreground object extraction is an important subject for computer vision applications. Model-based background subtraction methods have been used to extract the foreground objects. Different from previous methods, this paper introduces a hybrid codebook-based background subtraction method by combining the mixture of Gaussian (MOG) with the codebook (CB) method. We propose an ellipsoid CB model for modeling the dynamic background with highlight and shadow, and develop a modified shadow/ highlight removal method to overcome the influence of illumination change. Our method can avoid extracting the false foreground pixels (e.g., dark background) or missing the real foreground pixels (e.g., bright foreground). Finally, we have done two experiments to compare the performance of our method with the others based on [18] and the change detection benchmark dataset provided in CVPR 2011, respectively.

Keywords: background subtraction, codebook (CB) model, mixture of Gaussians (MOG) model, shadow removal

Full Text () Retrieve PDF document (201411_16.pdf)

Received November 7, 2012; revised February 23 & May 6, 2013; accepted June 23, 2013.
Communicated by Yung-Yu Chuang.
* This work was supported by the National Science Council, under Grant No. NSC 98-2221-E-007-077-MY3.