Publication Type : Conference Paper
Publisher : Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018
Source : Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB), Springer International Publishing, Cham (2019)
ISBN : 9783030006655
Campus : Amritapuri
School : School of Engineering
Department : Electrical and Electronics
Year : 2019
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.
Cite this Research Publication : R. Marie S. and Anudev J., “Response Analysis of Eulerian Video Magnification”, in Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB), Cham, 2019.