Background modeling using special type of Markov Chain

Author:

Zin Thi Thi1,Tin Pyke1,Toriu Takashi1,Hama Hiromitsu2

Affiliation:

1. Graduate School of Engineering, Osaka City University

2. Research Center for Industry Innovation, Osaka City University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference7 articles.

1. [1] S. Fazli, H. Bouzari, and H. Moradi, “A Novel GMM-Based Motion Segmentation Method for Complex Background,” Proc. 5th IEEE Gulf Cooperation Council (GCC) Conf., Kuwait, March 2009.

2. Background subtraction using generalised Gaussian family model

3. Extended fuzzy background modeling for moving vehicle detection using infrared vision

4. [4] Q. Wan and Y. Wang, “Background subtraction based on adaptive non- parametric model,” Proc. 7th World Congress on Intell. Control Automation, Chongqing, China, pp. 5960-5965, June 2008.

5. [5] A. Mittal and N. Paragios, “Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation,” Proc. IEEE Conf. Comput. Vision Pattern Recognition, Washington, D.C, USA, vol. 2, pp. 302-309, July 2004.

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