Multi-resolution approach to human activity recognition in video sequence based on combination of complex wavelet transform, Local Binary Pattern and Zernike moment-Reference-Cited by-同舟云学术

Multi-resolution approach to human activity recognition in video sequence based on combination of complex wavelet transform, Local Binary Pattern and Zernike moment

Published:2022-02-04 Issue:24 Volume:81 Page:34863-34892
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Khare Manish^ORCID,Jeon Moongu

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/s11042-021-11828-6.pdf

Reference58 articles.

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3. Borges PVK, Conci N, Cavallaro A (2013) Video-Based Human Behavior Understanding: A Survey. IEEE Transaction on Circuits and System for Video Technology 23(11):1993–2008

4. Castleman KR (1996) Digital Image Processing. Prentice Hall, Englewood Cliffs, NJ, USA

5. Celebi EM, Aslandogan YA (2005) A comparative study of three moment-based shape descriptors. In proceeding of International Conference on Information Technology: Coding and Computing I:788–793

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