Local binary pattern descriptors for dynamic texture recognition

被引：0
|
作者：
Zhao, Guoying [1 ]
Pietikainen, Matti [1 ]
机构：
[1] Oulu Univ, Infotech Oulu, Machine Vis Grp, POB 4500, FI-90014 Oulu, Finland
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS | 2006年
基金：
芬兰科学院;
关键词：
D O I：
暂无
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 is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed The textures are modeled with concatenated local binary patterns in three orthonormal planes. The circular neighborhoods are generalized to elliptical sampling to fit to the space-time statistics. This is an extension of the LBP approach widely used in still texture analysis, combining the motion and appearance together. Our approach has many advantages compared with the earlier approaches providing a better performance for the DynTex and MIT databases.
引用
收藏
页码：211 / +
页数：2
相关论文
共 50 条
  • [41] An analysis of monochrome conversions and normalizations on the Local Binary Patterns texture descriptors
    Nourani-Vatani, Navid
    De Deuge, Mark
    Douillard, Bertrand
    Williams, Stefan B.
    2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2013, : 831 - 837
  • [42] Local binary patterns variants as texture descriptors for medical image analysis
    Nanni, Loris
    Lumini, Alessandra
    Brahnam, Sheryl
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2010, 49 (02) : 117 - 125
  • [43] An ensemble of visual features for Gaussians of local descriptors and non-binary coding for texture descriptors
    Nanni, Loris
    Paci, Michelangelo
    Brahnam, Sheryl
    Ghidoni, Stefano
    EXPERT SYSTEMS WITH APPLICATIONS, 2017, 82 : 27 - 39
  • [44] Unsupervised Dynamic Texture Segmentation Using Local Descriptors in Volumes
    Chen, Jie
    Zhao, Guoying
    Pietikainen, Matti
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 3622 - 3625
  • [45] Unsupervised Dynamic Texture Segmentation Using Local Spatiotemporal Descriptors
    Chen, Jie
    Zhao, Guoying
    Pietikainen, Matti
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 2937 - 2940
  • [46] Image Texture Classification Using Texture Spectrum and Local Binary Pattern
    Hung, Chih-Cheng
    Pham, Minh
    Arasteh, Sara
    Kuo, Bor-Chen
    Coleman, Tommy
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 2750 - +
  • [47] Dynamic texture recognition using multiresolution edge-weighted local structure pattern
    Tiwari, Deepshikha
    Tyagi, Vipin
    COMPUTERS & ELECTRICAL ENGINEERING, 2017, 62 : 485 - 498
  • [48] Automated Weed Classification with Local Pattern-Based Texture Descriptors
    Ahmed, Faisal
    Kabir, Hasanul
    Bhuyan, Shayla
    Bari, Hossain
    Hossain, Emam
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2014, 11 (01) : 87 - 94
  • [49] Binary image steganalysis based on local texture pattern
    Chen, Jialiang
    Lu, Wei
    Fang, Yanmei
    Liu, Xianjin
    Yeung, Yuileong
    Xue, Yingjie
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2018, 55 : 149 - 156
  • [50] ULTRA LOCAL BINARY PATTERN FOR IMAGE TEXTURE ANALYSIS
    Cheung, Yiu-ming
    Deng, Junping
    2014 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC), 2014, : 290 - 293
12345