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http://dx.doi.org/10.5302/J.ICROS.2014.13.0022

A Study on the Resizable Target Size Estimation Method for Imaging Target Tracking  

Jung, Yun Sik (Daegu 2nd team, Defense Agency for Technology and Quality)
Rho, Shin Baek (Daegu 2nd team, Defense Agency for Technology and Quality)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.20, no.8, 2014 , pp. 842-848 More about this Journal
Abstract
In this paper, an improved method RMBE (Resizable Model Based target size Estimator) is presented for SDIIR (Strap Down Imaging Infrared) seekers. At the target engaging scenario, the IIR target measurement is separated by various parts. In this case, target object changing is important to accurate target intercept. Therefore, we need robust target size estimator. Our proposed method resize estimated target size with MC-1 (Markov Chain I) for accurate target size estimation. The performance of proposed method is tested at IIR target tracking of target intercept scenario. The experiment results show that the proposed RMBE has improved performance than MBE.
Keywords
target tracking; target size; imaging infrared; distance information; HPDAF;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 L. Qi and Z. Shi, "A method for FLIR target tracking based on distance updating," 2008 Congress on Image and Signal Processing, May 2008.
2 Y. Jung, S. S. Lee, and S. B. Rho, "A study on the target tracking algorithm based on the target size estimation," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 1, Jan. 2014.   과학기술학회마을   DOI
3 D. Musicki, "Integrated probabilistic data association," Automatic Control, IEEE Transactions on, vol. 39, no. 6, Jun. 1994.
4 D. Musicki, Automatic Tracking of Maneuvering Targets in Clutter Using IPDA, University of Newcastle, 1994.
5 T. H. Kim, B. I. Choi, J. E. Kim, Y. K. Yang, and T. L. Song, "A study of LM-IHPDA algorithm for multi-target tracking in infrared image sequences," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 3, Mar. 2013.   과학기술학회마을   DOI
6 Y. Bar-Shalom and T. E. Fortmann, Tracking and Data Association, Academic Press, New York, 1988.
7 Y. Bar-Shalom and X. R. Li, Estimation and Tracking: Principles and Techniques and Software, Artech House, Inc, 1993.
8 T. L. Song and D. S. Kim, "Highest probability data association for active sonar tracking," The 9th International Conference on Information Fusion, Jul. 2006.
9 Y. S. Jung and T. L. Song, "A study of IIR target detection and tracking method HPDA with feature information," Journal of KIMST (in Korean), vol. 11, no. 4, pp. 124-132, Jun. 2008.