Background Subtraction Algorithm by Using the Local Binary Pattern Based on Hexagonal Spatial Sampling


The KIPS Transactions:PartB , Vol. 15, No. 6, pp. 533-542, Dec. 2008
10.3745/KIPSTB.2008.15.6.533,   PDF Download:

Abstract

Background subtraction from video data is one of the most important task in various realtime machine vision applications. In this paper, a new scheme for background subtraction based on the hexagonal pixel sampling is proposed. Generally it has been found that hexagonal spatial sampling yields smaller quantization errors and remarkably improves the understanding of connectivity. We try to apply the hexagonally sampled image to the LBP based non-parametric background subtraction algorithm. Our scheme makes it possible to omit the bilinear pixel interpolation step during the local binary pattern generation process, and, consequently, can reduce the computation time. Experimental results revealed that our approach based on hexagonal spatial sampling is very efficient and can be utilized in various background subtraction applications.


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Cite this article
[IEEE Style]
Y. K. Choi, "Background Subtraction Algorithm by Using the Local Binary Pattern Based on Hexagonal Spatial Sampling," The KIPS Transactions:PartB , vol. 15, no. 6, pp. 533-542, 2008. DOI: 10.3745/KIPSTB.2008.15.6.533.

[ACM Style]
Young Kyu Choi. 2008. Background Subtraction Algorithm by Using the Local Binary Pattern Based on Hexagonal Spatial Sampling. The KIPS Transactions:PartB , 15, 6, (2008), 533-542. DOI: 10.3745/KIPSTB.2008.15.6.533.