Narrowband target tracking method based on gaussian mixture model

Qiwen Zeng; Huiliang Ge; Bin Zhou

doi:10.1117/12.3006302

10 October 2023 Narrowband target tracking method based on gaussian mixture model

Qiwen Zeng, Huiliang Ge, Bin Zhou

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127992G (2023) https://doi.org/10.1117/12.3006302
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The method of trajectory distribution fusion based on Gaussian mixture model (GMM) is suitable for narrowband target tracking system. Aiming at the problems of inaccurate, ambiguous and narrowband tracking of wide-band tracking results, Aiming at the problems of inaccurate, ambiguous and narrowband tracking of Wide-band tracking results, an algorithm based on hybrid Gaussian model is proposed for automatic narrowband target tracking. An algorithm based on hybrid Gaussian model is proposed for automatic narrowband target tracking. Target azimuth distribution is regarded as mixed Gaussian model, Target Azimuth distribution is regarded as mixed Gaussian model, and the expectation maximization algorithm is used to estimate the parameters of the mixed Gaussian model. And the expectation maximization algorithm is used to estimate the parameters of the mixed Gaussian model. The Gaussian mixture model is used to cluster target azimuth. Target weighting method is used to fuse the target azimuth, and get clear and stable target tracking results.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qiwen Zeng, Huiliang Ge, and Bin Zhou "Narrowband target tracking method based on gaussian mixture model", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127992G (10 October 2023); https://doi.org/10.1117/12.3006302

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