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International Symposium of Space Optical Instrument and Application

ISSOIA 2018: 5th International Symposium of Space Optical Instruments and Applications pp 273–279Cite as

An Optimized Method of Target Tracking Based on Correlation Matching and Kalman Filter

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Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 232))

Abstract

Correlation matching is an easy method for target image tracking. But global searching is large amounts of calculation, and target will be lost when shaded. The combining use of correlation matching and Kalman filter will predict a possible position in the next frame which reduces the calculation time and prevents from losing target. In this paper, this combined algorithm is improved by using a self-updated matching template and a self-adapted detecting window. This method can well overcome the disturbing by spinning, scaling, or transforming of the target and indeterminacy of movement. Because of these advantages, this algorithm can be used in target tracking system on spacecraft.

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References

  1. Yilmaz, A., Shafique, K., Shah, M.: Target tracking in airborne forward looking infrared imagery. Image Vis. Comput. 21(7), 625–635 (2003)

    Article  Google Scholar 

  2. Wang, Y., Zhang, G.: The tracking method based on Kalman filter. Infrared Laser Eng. 33(5), 505–508 (2004)

    MathSciNet  Google Scholar 

  3. Xiang, W., Han, G.: Application of target tracking algorithm in infrared imaging tracking technology. Appl. Elect. Tech. 2003–7

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  4. Liu, X., Jia, Y., Sun, H.: Research on tracking stability in correlation algorithm. Infrared Laser Eng. 27(1) (1998–2)

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Author information

Authors and Affiliations

  1. Shandong Aerospace Electro-technology Institute, Yantai, Shandong, China

    Mingdao Xu & Liang Zhao

Authors
  1. Mingdao Xu
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  2. Liang Zhao
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Corresponding author

Correspondence to Mingdao Xu .

Editor information

Editors and Affiliations

  1. Optics Research Group, Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    H. Paul Urbach

  2. National University of Defense Technology, Kaifu, Changsha, Hunan, China

    Qifeng Yu

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Xu, M., Zhao, L. (2020). An Optimized Method of Target Tracking Based on Correlation Matching and Kalman Filter. In: Urbach, H., Yu, Q. (eds) 5th International Symposium of Space Optical Instruments and Applications. ISSOIA 2018. Springer Proceedings in Physics, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-27300-2_27

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