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Response Analysis of Eulerian Video Magnification

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Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) (ISMAC 2018)

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

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Abstract

The human eye has a very high optical resolution making it one of the most astonishing curiosities of the world. However, its spatial resolution is not good enough to capture everything happening around it, and it can miss out minor details, which can be termed as hidden movements. The hidden movements can be due to the extremely high speed of the visual, very small movements, long-term physical process, etc. Eulerian video magnification is a spatiotemporal video processing algorithm that can reveal hidden details that are otherwise hidden to naked eyes. In this process, a standard video sequence is spatially decomposed, and temporal filtering of the frames is done. The data so obtained as output can be used in many fields such as biomedical instrumentation, remote surveillance, etc. Here, an analysis has been done on Eulerian Video Magnification (EVM), for different video resolutions to understand its reliability.

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Acknowledgements

The authors would like to express their gratitude to Dr. Ravikumar Pandi, Project Coordinator, Assistant Professor, Dept. of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri for his continuous support and motivation, and Chairperson Dr. Manjula G. Nair, Dept. of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri for providing all opportunities and facilities for the fulfilment of this work.

The authors also express their gratitude to the panel of reviewers who helped in reviewing the work and helped in organizing the contents.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India

    S. Ramya Marie & J. Anudev

Authors
  1. S. Ramya Marie
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  2. J. Anudev
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Corresponding author

Correspondence to J. Anudev .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Ramya Marie, S., Anudev, J. (2019). Response Analysis of Eulerian Video Magnification. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_66

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

  • eBook Packages: EngineeringEngineering (R0)

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