Efficient bat-inspired block matching algorithm with novel motion energy directional histograms for dynamic texture fast recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16295-9.pdf
Reference51 articles.
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3. Andrearczyk V, Whelan PF (2015) Dynamic texture classification using combined co-occurrence matrices of optical flow. In: Irish Machine Vision & Image Processing Conference proceedings IMVIP. Volume 2015
4. Bansal R, Pundir AS, Raman B (2017) Dynamic texture using deep learning. In: TENCON 2017-2017 IEEE Region 10 Conference pp 2609–2614. IEEE
5. Bida I, Aouat S (2019) Motion-based analysis of dynamic textures-a survey. International conference on computer science and its applications. Springer, Cham, pp 182–192
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