A new tracking method for small infrared targets

Lei Yang, Weiping Lu, Jie Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination. ©2009 IEEE.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Pages3609-3612
Number of pages4
DOIs
Publication statusPublished - 2009
Event16th IEEE International Conference on Image Processing 2009 - Cairo, Egypt
Duration: 7 Nov 200912 Nov 2009

Conference

Conference16th IEEE International Conference on Image Processing 2009
Abbreviated titleICIP 2009
CountryEgypt
CityCairo
Period7/11/0912/11/09

Keywords

  • Algorithms
  • Infrared tracking

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  • Cite this

    Yang, L., Lu, W., & Yang, J. (2009). A new tracking method for small infrared targets. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 3609-3612) https://doi.org/10.1109/ICIP.2009.5414290