A single performance characteristic for the evaluation of seeker tracking algorithms

Pattern Recognition and Image Analysis

Volumn 24, Issue 2, 2014, Pages 218-225

  Doktorski, L ^a   Michaelsen, E ^a   Repasi, E ^a  

^a FRAUNHOFER IOSB   (Germany)

Author keywords

automatic quantitative analysis; hit probability; infrared guided missiles; performance characteristic; seeker tracking algorithms; threat assessment

Indexed keywords

GUIDED MISSILES; INFRARED IMAGING; SHIPS; TRACKING (POSITION);

AUTOMATIC QUANTITATIVE ANALYSIS; HIT PROBABILITY; INFRARED GUIDED MISSILES; PERFORMANCE CHARACTERISTICS; THREAT ASSESSMENT; TRACKING ALGORITHM;

ALGORITHMS;

EID: 84902334522     PISSN: 10546618     EISSN: 15556212     Source Type: Journal    
DOI: 10.1134/S1054661814020047     Document Type: Article

References (18)

1. D. R. Anderson, J. Moore, J. Montgomery, and M. Chambliss, "Infrared seeker performance metrics," SBIR A02-158: Phase I SBIR, Final Report (2003). http://www. dtic. mil/cgi-bin/GetTR-Doc?AD=ADA419746.
2. K. Bernardin and R. Stiefelhagen, "Evaluating multiple object tracking performance: the CLEAR MOT metrics," EURASIP J. Image Video Processing 2008, 1-10 (2008).
3. L. Doktorski, E. Michaelsen, and E. Repasi, "A single performance characteristic for the evaluation of seeker tracking algorithms," in Proc. IMTA-4 2013 Image Mining. Theory and Applications, Ed. by I. Gurevich, O. Salvetti, and H. Niemann (Scitepress, 2013), pp. 3-13.
4. K. K. Edward, P. D. Matthew, and B. H. Michael, "An information theoretic approach for tracker performance evaluation," in Proc. 12th IEEE Int. Conf. on Computer Vision (Kyoto, 2009), pp. 1523-1529.
5. H. Gerlach, Digitale Bildfolgenauswertung zum Wiederfinden von Objekten in naturlicher Umgebung (FGAN-FIM, Karlsruhe, 1979).
6. R. D. Hudson, Jr., Infrared System Engineering (John Wiley & Sons, New York, 1969).
7. W. de Jong, F. A. Dam, G. J. Kunz, and R. M. A. Schleijpen, "IR seeker simulator and IR scene generation to evaluate IR decoy effectiveness," Proc. SPIE 5615, 100-111 (2004).
8. W. de Jong, S. P. van den Broek, and R. van der Nol, "IR seeker simulator to evaluate IR decoy effectiveness," Proc. SPIE 4718, 164-172 (2002).
9. P. D. Lavailee, J. A. Lightfoot, M. A. Chambliss, C. Kimbel, and J. R. Griffin, "Methodology for evaluating autonomous IR tracker performance," in Proc. Ground Targets Modeling and Validation Conf. (Houghton, MI, 2002).
10. R. Legault, The Infrared Handbook, Chap. 17: Reticle and Image Analyses, Ed. by W. L. Wolfe and G. J. Zissis (Office of Naval Research, Department of the Navy, Washington, 1989).
11. Y. Li and J. Yan, "Performance evaluation of imaging seeker tracking algorithm based on multi-features," in Proc. Int. Symp. on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, Ed. by J. J. Puschell, J. Chu, H. Gong, and J. Lu; Proc. SPIE 8193, 81932A-81932A-7 (2011).
12. R. E. Nasburg, Electro-Optical Systems Design, Analysis, and Testing, Chap. 5: Tracking and Control Systems, Ed. by M. C. Dudznik, Ed. (Infrared Information Analysis Center, Environmental Research Institute of Michigan, Ann Harbor, 1993).
13. C. J. Needham and D. Boyle, "Performance evaluation metrics and statistics for positional tracker evaluation," in Proc. 3rd Int. Conf. on Computer Vision Systems ICVS 2003 (Toulouse, 2003), Vol. 2626, pp. 278-289.
14. R. H. M. A. Schleijpen, "Toolset for evaluating infrared countermeasures and signature reduction for ships," Proc. SPIE 7836 (2010).
15. R. H. M. A. Schleijpen, "Evaluation of infrared-signature suppression of ships," Proc. SPIE 2742, 245-254 1996.
16. R. Schoemaker and R. Schleijpen, "Evaluation tools for the effectiveness of infrared countermeasures and signature reduction for ships," Proc. SPIE 7662 (2010).
17. K. Suzuki, "Analysis of rising-sun reticle," Opt. Eng. 18(3), 350-351 (1979).
18. D. A. Vaitekunas, "IR susceptibility of naval ships using ShipIR/NTCS," Proc. SPIE 7662 (2010).