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Dynamic Texture Recognition: A Review

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 434))

Abstract

Dynamic texture recognition is a very important part of texture analysis. It mainly consists of recognition of moving texture that exhibits certain form of temporal stationarity. There are a good number of approaches developed by different research groups for dynamic texture recognition. This paper, analyze various dynamic texture recognition approaches and categorized into one of the four major groups: Discriminative based methods, Model based method, Flow based method and finally, Transform based methods that use wavelet based features to represent the dynamic texture. This survey critically evaluates various state-of-the-art dynamic texture recognition methods in order to provide a comprehensive modelling of dynamic texture.

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Authors and Affiliations

  1. Jaypee University of Engineering and Technology, Raghogarh, Guna, MP, India

    Deepshika Tiwari & Vipin Tyagi

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  1. Deepshika Tiwari
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  2. Vipin Tyagi
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Correspondence to Vipin Tyagi .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  3. University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  4. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Tiwari, D., Tyagi, V. (2016). Dynamic Texture Recognition: A Review. In: Satapathy, S.C., Mandal, J.K., Udgata, S.K., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 434. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2752-6_36

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  • DOI: https://doi.org/10.1007/978-81-322-2752-6_36

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  • Publisher Name: Springer, New Delhi

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  • Online ISBN: 978-81-322-2752-6

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