Multiselectivity Spatio-Temporal Analysis for Motion and Velocity Capture
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