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A single performance characteristic for the evaluation of seeker tracking algorithms

 
: Doktorski, Leo; Michaelsen, Eckart; Repasi, Endre

:
Volltext urn:nbn:de:0011-n-2384013 (176 KByte PDF)
MD5 Fingerprint: 7e7154e1fde35824123ccafd27dd5d5d
Erstellt am: 23.4.2013


Gurevich, I. ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
4th International Workshop on Image Mining. Theory and Applications, IMTA 2013 : In conjunction with the 8th International Joint Conference con Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2013, Barcelona, Spain, 23 February 2013
SciTePress, 2013
11 S.
International Workshop on Image Mining - Theory and Applications (IMTA) <4, 2013, Barcelona>
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) <8, 2013 , Barcelona>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
This paper presents a single numerical performance characteristic for the evaluation of seeker tracking algorithms. It concentrates on ship IR seeker tracking algorithms. Assessing the threat from guided missiles needs a sound evaluation of their performance. The main goal is to introduce a characteristic which is able to assess the threat for ships depending on various scenario pa-rameters. It is shown that for these applications such a single characteristic is sufficient. In order to achieve this seven popular tracking algorithms are used for this. Synthetic IR image sequences are generated to simulate a large set of attack approaches and assemble sufficient statistics on the behavior of the algo-rithms. The introduced characteristic can also be used for investigations on algorithms themselves, e.g. for sensitivity analyses and parameter optimization of a single algorithm, and for comparison of different algorithms.

: http://publica.fraunhofer.de/dokumente/N-238401.html