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Proceedings Paper

Real-time automatic target recognition and identification of ground vehicles for airborne optronic systems
Author(s): Olivier Ruch; Jean-Yves Dufour
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Paper Abstract

This paper describes ATR/I algorithms that were developed by Thales Optronique for the real-time automatic target recognition and identification of ground vehicles in a Air-to-Ground non cooperative context. The main principles of the algorithm based on an exhaustive comparison between the input image and the elements of a 〈 Model Data Set 〉 are: • To avoid the variability on the gray-levels of the target, the comparison is not performed directly on the input gray-level image but on an edge image which is obtained with a segmentation algorithm derived from the classical Canny-Deriche edge detector. • The selected architecture is chosen to repeat many times a single instruction rather than to execute only one time a lot of different instructions. Therefore, the comparisons between the input image and the elements of the 〈 Model Data Set 〉 are performed in 2D with a correlative technique. • The computation time is achieved thanks to a coarse to fine analysis with different levels of comparison : in a first stage, a simple comparison measure is used which enables quick selection of a preliminary list of potential hypotheses. This measure is discriminating enough to select a small number of hypotheses and robust enough to select the true hypothesis associated with the target. These selected hypotheses are then analyzed during a second stage of processing using a more refined measure, and thus more time consuming than the previous one, but which is applied on a significantly reduced number of hypotheses.

Paper Details

Date Published: 16 September 2005
PDF: 10 pages
Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590902 (16 September 2005); doi: 10.1117/12.615053
Show Author Affiliations
Olivier Ruch, Thales Optronique SA (France)
Jean-Yves Dufour, Thales Optronique SA (France)


Published in SPIE Proceedings Vol. 5909:
Applications of Digital Image Processing XXVIII
Andrew G. Tescher, Editor(s)

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