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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
Authors:Mohamed EL Aallaoui
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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

    	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 = "",
    	doi = "10.5120/ijais2020451856",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


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