A multispectral target tracking algorithm based on particle filter

Zhen-zhen Gao; Geng Zhang; Bing-liang Hu

doi:10.1117/12.2284791

24 October 2017 A multispectral target tracking algorithm based on particle filter

Zhen-zhen Gao, Geng Zhang, Bing-liang Hu

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104622K (2017) https://doi.org/10.1117/12.2284791
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

Target detection and tracking important in many applications including intelligent monitoring system, defense system and terminal guidance system. Aiming to solve the problem of simulated target tracking, this paper proposes an adaptive algorithm which uses the fusion of the spectral and morphological features of multispectral image to realize the target tracking based on the Particle Filter. Firstly, the target area is manually initialized in the multispectral image and the spectral and texture features of the target are extracted. Secondly, we build the adaptive tracking model of multiple features under the framework of Particle Filter. We validate the effectiveness of the proposed approach on the MATLAB platform. The results show that the proposed approach achieves accurate and stable multispectral target tracking in complex scenes by improving the efficiency of particles usage under defective tracking conditions, which is of great theoretical and practical values for the application of multispectral target tracking technology.

Citation Download Citation

Zhen-zhen Gao, Geng Zhang, and Bing-liang Hu "A multispectral target tracking algorithm based on particle filter", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622K (24 October 2017); https://doi.org/10.1117/12.2284791

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