Small target tracking on image sequence using nonlinear optimal filtering

Stephane Formont; Vincent Laude; Philippe Refregier

doi:10.1117/12.217706

1 September 1995 Small target tracking on image sequence using nonlinear optimal filtering

Stephane Formont, Vincent Laude, Philippe Refregier

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217706
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

An adaptive correlation-based tracker has been developed. It uses discriminant nonlinear filters which offer more robustness to noise, background, and object distortions. Computers simulations show test results for a small target tracking, and good capabilities are demonstrated without post-processing of the correlation plane. The algorithm developed here works where well-known linear filters failed.

Citation Download Citation

Stephane Formont, Vincent Laude, and Philippe Refregier "Small target tracking on image sequence using nonlinear optimal filtering", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217706

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