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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 33 — Nov. 20, 2013
  • pp: 7919–7926

Multitarget tracking system based on an infrared fish-eye lens

Gang Li, Li Li, Hongbin Shen, Yongqiang He, Jingxia Huang, Shaojuan Mao, and Yuanbo Wang  »View Author Affiliations

Applied Optics, Vol. 52, Issue 33, pp. 7919-7926 (2013)

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A multitarget tracking system based on an infrared (IR) fish-eye lens is built to satisfy urgent requirements of large-field IR, multitarget, real-time reconnaissance and tracking. Utilizing an IR fish-eye lens and a 512×512 pixel PtSi detector, the system can detect threatening targets at the whole space domain and the whole time domain. The hardware of the system based on a dual-digital signal processor is designed to implement data processing for multitarget tracking algorithms, which include a track initiation algorithm and a modified generalized probability data association algorithm. We also carried out a tracking experiment for two aerial maneuvering targets. Comparing the theoretical and experimental tracks, the availability of the system and the real-time capability of multitarget tracking are validated.

© 2013 Optical Society of America

OCIS Codes
(110.2970) Imaging systems : Image detection systems
(110.3080) Imaging systems : Infrared imaging
(100.3005) Image processing : Image recognition devices

ToC Category:
Imaging Systems

Original Manuscript: August 5, 2013
Revised Manuscript: October 7, 2013
Manuscript Accepted: October 9, 2013
Published: November 13, 2013

Virtual Issues
Vol. 9, Iss. 1 Virtual Journal for Biomedical Optics

Gang Li, Li Li, Hongbin Shen, Yongqiang He, Jingxia Huang, Shaojuan Mao, and Yuanbo Wang, "Multitarget tracking system based on an infrared fish-eye lens," Appl. Opt. 52, 7919-7926 (2013)

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  1. R. T. Hintz, J. Allen, M. Chen, T. Price, and G. Goetz, “UAV Infrared Search and Track (IRST)/Eyesafe Laser Range Finder (ELR) System,” (2005).
  2. B. Ristic, M. Hernandez, A. Farina, and H.-T. Ong, “Analysis of radar allocation requirements for an IRST aided tracking of anti-ship missiles,” (2006).
  3. L. N. Smith and J. R. Waterman, “Real-time fleet protection,” (2007).
  4. P.-O. Nouguès, P. Baize, and F. Roland, “Third-generation naval IRST using the step-and-stare architecture,” Proc. SPIE 6940, 69401B (2008).
  5. E. H. Takken and J. R. Waterman, “Navy DAS Program for SBIRST,” Proc. SPIE 5406, 295–304 (2004). [CrossRef]
  6. D. Manson, M. Richards, T. Nicolson, T. Khan, D. Barron, and G. Evans, “Staring naval infrared search and track demonstrator,” Proc. SPIE 5987, 598706 (2005). [CrossRef]
  7. J.-C. Fontanella, D. Delacourt, and Y. Klein, “ARTEMIS: first naval staring IRST in service,” Proc. SPIE 7660, 766006 (2010).
  8. J. Fujiki, “Calibration of radially symmetric distortion based on linearity in the calibrated image,” in IEEE International Conference on Computer Vision Workshops, Barcelona, 2011, pp. 288–295.
  9. M. Saito, K. Kitaguchi, and G. Kimura, “People detection and tracking from fish-eye image based on probabilistic appearance model,” in SICE Annual Conference (2011), pp. 435–440.
  10. Y. Pan and H. Cheng, “Hyper-field of view monitoring optical system,” in ICEMI (2011), pp. 107–109.
  11. B. Zhou, L. Sun, and J. Ying, “Special problems of target detection in super wide angle staring system,” Laser Infrared 38, 334–337 (2008).
  12. X. Bai and F. Zhou, “Hit-or-miss transform based infrared dim small target enhancement,” Opt. Laser Technol. 43, 1084–1090 (2011). [CrossRef]
  13. H. Deng and J. Liu, “Infrared small target detection based on the self-information map,” Infrared Phys. Technol. 54, 100–107 (2011). [CrossRef]
  14. K. Huang and X. Mao, “Detectability of infrared small targets,” Infrared Phys. Technol. 53, 208–217 (2010). [CrossRef]
  15. B. Xu, H. Xu, J. Zhu, and Q. Chen, “Ants with three primary colors for track initiation,” Exp. Syst. Appl. 38, 9809–9820 (2011).
  16. Y. Bar-Shalom and T. E. Fortman, Tracking and Data Association (Academic, 1988).
  17. B. Zhou and N. T. Bose, “An efficient algorithm for data association in multitarget tracking,” IEEE Trans. Aerosp. Electron. Syst. 31, 458–468 (1995).
  18. E. Mazor, A. Averbuch, Y. Bar-Shalom, and J. Dayan, “Interacting multiple model methods in target tracking: a survey,” IEEE Trans. Aerosp. Electron. Syst. 34, 103–123 (1998).
  19. Q. Pan, X. Ye, F. Yang, and H. Zhang, “Generalized probability data association algorithm,” Acta Electron. Sin. 33, 467–472 (2005).
  20. Y. Wang, “Some key problems about the design of IR thermal imaging fish-eye lens,” Acta Photon. Sin. 24, 1078–1080 (2005).
  21. T. Lu, X. Su, L. Yang, J. Liang, and Y. Dong, “Multi-targets attitude recognize based on Hough and improved radon transform,” Acta Photon. Sin. 38, 2722–2727 (2009).
  22. J. Chen, H. Leung, T. Lo, J. Litva, and M. Blanchette, “A modified probabilistic data association filter in a real clutter environment,” IEEE Trans. Aerosp. Electron. Syst. 32, 300–313 (1996).
  23. C. Li, C. Han, and H. Zhu, “Modified generalized probability data association algorithm,” Opt. Electron. Eng. 33, 13–17 (2006).

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