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Investigation of moving objects through atmospheric turbulence from a non-stationary platform
Author(s): Nicholas Ferrante; Jérôme Gilles; Shibin Parameswaran
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Paper Abstract

In this work, we extract the optical flow field corresponding to moving objects from an image sequence of a scene impacted by atmospheric turbulence and captured from a moving camera. Our procedure first computes the optical flow field and creates a motion model to compensate for the flow field induced by camera motion. After subtracting the motion model from the optical flow, we proceed with our previous work, Gilles et al,1 where a spatial-temporal cartoon+texture inspired decomposition is performed on the motion-compensated flow field in order to separate flows corresponding to atmospheric turbulence and object motion. Finally, the geometric component is processed with the detection and tracking method and is compared against a ground truth. All of the sequences and code used in this work are open source and are available by contacting the authors.

Paper Details

Date Published: 6 September 2019
PDF: 20 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370X (6 September 2019); doi: 10.1117/12.2528201
Show Author Affiliations
Nicholas Ferrante, Naval Information Warfare Ctr. Pacific (United States)
San Diego State Univ. (United States)
Jérôme Gilles, San Diego State Univ. (United States)
Shibin Parameswaran, Naval Information Warfare Ctr. Pacific (United States)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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