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Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture

Mohamed EL Aallaoui in Multimedia

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 12 Number 29
Authors:Mohamed EL Aallaoui
10.5120/ijais2020451856
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  1. Mohamed EL Aallaoui. Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture. International Journal of Applied Information Systems 12(29):1-10, May 2020. URL, DOI BibTeX

    @article{10.5120/ijais2020451856,
	author = "Mohamed EL Aallaoui",
	title = "Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture",
	journal = "International Journal of Applied Information Systems",
	issue_date = "May 2020",
	volume = 12,
	number = 29,
	month = "May",
	year = 2020,
	issn = "2249-0868",
	pages = "1-10",
	url = "http://www.ijais.org/archives/volume12/number29/1082-2020451856",
	doi = "10.5120/ijais2020451856",
	publisher = "Foundation of Computer Science (FCS), NY, USA",
	address = "New York, USA"
}

Abstract

This paper focuses on the development of a new 2D time wavelets family for image sequence that can capture different motion in image sequence, ranging from highly directional ones to fully isotropic ones. We propose a multiselectivity spatio-temporal analysis, defined by isotropic and multidirectional decomposition with different angular selectivity. The result is a dictionary of wavelet transform with different selectivity level, which provides a theoretical tool to select a best representation for motion and velocity. This representation was used to developer a velocity capture algorithm in image sequence. The Experimental results demonstrate the effectiveness of the proposed approach.

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Keywords

2D+time wavelets, Velocity capture, Motion analysis, Multiselectivity analysis, Angular selectivity