Share Email Print

Proceedings Paper

Using optical flow for the detection of floating mines in IR image sequences
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In the first Gulf War, unmoored floating mines proved to be a real hazard for shipping traffic. An automated system capable of detecting these and other free-floating small objects, using readily available sensors such as infra-red cameras, would prove to be a valuable mine-warfare asset, and could double as a collision avoidance mechanism, and a search-and-rescue aid. The noisy background provided by the sea surface, and occlusion by waves make it difficult to detect small floating objects using only algorithms based upon the intensity, size or shape of the target. This leads us to look at the sequence of images for temporal detection characteristics. The target's apparent motion is such a determinant, given the contrast between the bobbing motion of the floating object and the strong horizontal component present in the propagation of the wavefronts. We have applied the Proesmans optical flow algorithm to IR video footage of practice mines, in order to extract the motion characteristic and a threshold on the vertical motion characteristic is then imposed to detect the floating targets.

Paper Details

Date Published: 5 October 2006
PDF: 10 pages
Proc. SPIE 6395, Electro-Optical and Infrared Systems: Technology and Applications III, 63950Y (5 October 2006); doi: 10.1117/12.688839
Show Author Affiliations
Alexander Borghgraef, Royal Military Academy (Belgium)
Marc Acheroy, Royal Military Academy (Belgium)

Published in SPIE Proceedings Vol. 6395:
Electro-Optical and Infrared Systems: Technology and Applications III
Ronald G. Driggers; David A. Huckridge, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?