Orthogonal combination of local binary patterns for dynamic texture recognition

被引:5
作者
Chen, Yin [1 ]
Guo, Xuejun [1 ]
Klein, Dominik A. [2 ]
机构
[1] Taiyuan Univ Technol, Dept Math, Yingze West Ave 74, Taiyuan 030024, Peoples R China
[2] Univ Bonn, Dept Comp Sci 3, D-53117 Bonn, Germany
来源
MIPPR 2015: PATTERN RECOGNITION AND COMPUTER VISION | 2015年 / 9813卷
关键词
dynamic texture; volome local binary patterns; dimensionality reduction; orthogonal decomposition; CLASSIFICATION;
D O I
10.1117/12.2205319
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 9 条
[1]  
[Anonymous], 2000, Pattern Classification, DOI DOI 10.1007/978-3-319-57027-3_4
[2]   Description of interest regions with local binary patterns [J].
Heikkila, Marko ;
Pietikainen, Matti ;
Schmid, Cordelia .
PATTERN RECOGNITION, 2009, 42 (03) :425-436
[3]   ON INFORMATION AND SUFFICIENCY [J].
KULLBACK, S ;
LEIBLER, RA .
ANNALS OF MATHEMATICAL STATISTICS, 1951, 22 (01) :79-86
[4]   A comparative study of texture measures with classification based on feature distributions [J].
Ojala, T ;
Pietikainen, M ;
Harwood, D .
PATTERN RECOGNITION, 1996, 29 (01) :51-59
[5]   Multiresolution gray-scale and rotation invariant texture classification with local binary patterns [J].
Ojala, T ;
Pietikäinen, M ;
Mäenpää, T .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (07) :971-987
[6]   DynTex: A comprehensive database of dynamic textures [J].
Peteri, Renaud ;
Fazekas, Sandor ;
Huiskes, Mark J. .
PATTERN RECOGNITION LETTERS, 2010, 31 (12) :1627-1632
[7]  
Pietikainen M, 2011, COMPUT IMAGING VIS, V40, P1
[8]  
Szummer M, 1996, INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL III, P823, DOI 10.1109/ICIP.1996.560871
[9]   Dynamic texture recognition using local binary patterns with an application to facial expressions [J].
Zhao, Guoying ;
Pietikainen, Matti .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (06) :915-928