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Reseach Article

Video Motion Magnification using Spatio-Temporal Algorithm

by Lokesh Sarode, N. N. Mandaogade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 9
Year of Publication: 2014
Authors: Lokesh Sarode, N. N. Mandaogade
10.5120/16820-6573

Lokesh Sarode, N. N. Mandaogade . Video Motion Magnification using Spatio-Temporal Algorithm. International Journal of Computer Applications. 96, 9 ( June 2014), 9-13. DOI=10.5120/16820-6573

@article{ 10.5120/16820-6573,
author = { Lokesh Sarode, N. N. Mandaogade },
title = { Video Motion Magnification using Spatio-Temporal Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 9 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number9/16820-6573/ },
doi = { 10.5120/16820-6573 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:16.411195+05:30
%A Lokesh Sarode
%A N. N. Mandaogade
%T Video Motion Magnification using Spatio-Temporal Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 9
%P 9-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim is to disclose temporal variations in videos that are hard or nearly impossible to view with the naked eye and display them in an indicative fashion. Our method, which is based on spatio-temporal processing, takes a standard video sequence as input, and applies spatial processing / decomposition, followed by temporal processing / filtering to the frames where the frames are filtered to select desired band of frequencies to be amplify. These bands of frequencies are empirically decided by user and also user is allowed to decide amplification factor by which motion is to be amplified. After the processing and enhancement of the low frequencies, the spatial pyramid is reconstructed back to get improved video sequence where the subtle motions are significantly visible. Or in other words, the resulting signal is then amplified and added back to the original signal to reveal hidden information. Using this method, it is able to visualize the pulsation/movement of ULNAR artery when a blood flows though it and also to amplify and reveal subtle motions in day to day life.

References
  1. Verkruysse, w. , Svaasand, l. o. , and Nelson, J. S. 2008. Remote plethysmographic imaging using ambient light Opt. Express16, 26, 21434–21445.
  2. Poh, M. Z. , Mcduff, D. J. , and Picard, R. W. 2010. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt. Express 18, 10, 10762–10774.
  3. Liu, C. , Torralba, A. , Freeman, W. T. , Durand, F. , and Adelson, E. H. 2005. Motion magnification . ACM Trans. Graph. 24, 519–526.
  4. Wang, J. , Drucker, S. M. , Agrawala, M. , and Cohen, M. F. 2006. The cartoon animation filter. ACM Trans. Graph. 25, 1169–1173.
  5. Fuchs, M. , Chen, T. , Wang, O. , Raskar, R. , Seidel, H. -P. , and Lensch, H. P. 2010. Real-time temporal shaping of highspeedvideo streams. Computers & Graphics 34, 5, 575–584.
  6. lucas, B. D. , and Kanade, T. 1981. An iterative image registration technique with an application to stereo vision. In Proceedings of IJCAI, 674–679.
  7. Horn, B. , and Schunck, B. 1981. Determining optical flow. Artificial intelligence 17, 1-3, 185–203.
  8. Burt, P. , and Adelson, E. 1983. The laplacian pyramid as a compact image code . IEEE Trans. Comm. 31, 4, 532–540.
  9. C. Tomasi, R. Manduchi, Bilateral Filtering for Gray and Color Images, Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India.
Index Terms

Computer Science
Information Sciences

Keywords

Decomposition subtle motion spatial temporal spatial pyramid