Paper
14 December 2015 Orthogonal combination of local binary patterns for dynamic texture recognition
Yin Chen, Xuejun Guo, Dominik Klein
Author Affiliations +
Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 98130R (2015) https://doi.org/10.1117/12.2205319
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Dynamic texture (DT) is an extension of texture to the temporal domain. Recognizing DTs has received increasing attention. Volume local binary pattern (VLBP) is the most widely used descriptor for DTs. However, it is time consuming to recognize DTs using VLBP due to the large scale of data and the high dimensionality of the descriptor itself. In this paper, we propose a new operator called orthogonal combination of VLBP (OC-VLBP) for DT recognition. The original VLBP is decomposed both longitudinally and latitudinally, and then combined to constitute the OC-VLBP operator, so that the dimensionality of the original VLBP descriptor is lowered. The experimental results show that the proposed operator significantly reduces the computational costs of recognizing DTs without much loss in recognizing accuracy.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yin Chen, Xuejun Guo, and Dominik Klein "Orthogonal combination of local binary patterns for dynamic texture recognition", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 98130R (14 December 2015); https://doi.org/10.1117/12.2205319
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Binary data

Video

Databases

Computer vision technology

Machine vision

Statistical modeling

Analytical research

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