Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields
Computer Vision and Pattern Recognition
2024-10-30 v1
Abstract
In this paper, we investigate how moving objects can be detected when images are impacted by atmospheric turbulence. We present a geometric spatio-temporal point of view to the problem and show that it is possible to distinguish movement due to the turbulence vs. moving objects. To perform this task, we propose an extension of 2D cartoon+texture decomposition algorithms to 3D vector fields. Our algorithm is based on curvelet spaces which permit to better characterize the movement flow geometry. We present experiments on real data which illustrate the efficiency of the proposed method.
Keywords
Cite
@article{arxiv.2410.21551,
title = {Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields},
author = {Jerome Gilles and Francis Alvarez and Nicholas B. Ferrante and Margaret Fortman and Lena Tahir and Alex Tarter and Anneke von Seeger},
journal= {arXiv preprint arXiv:2410.21551},
year = {2024}
}