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The technology of multi-mode tracking algorithm fusion decision based on background complexity perception
Author(s): Zili Tang; Wenwu Jia; Yuanyuan Zhou; Zengbo Jiang; Qiuping Hu
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Paper Abstract

The imaging tracking systems often face different backgrounds,such as the ground, the sky, the sea, the jungle, the Gobi, tec. This paper is based on the complexity of different backgrounds and the mechanism and method of automatic optimization of the tracking algorithm under different background conditions. The paper presents a comprehensive decision model of background complexity, which combines the statistical characteristics of gray scale, image texture features, edge characteristics and high frequency features of the image. The model can realize the scientific and effective combination of multi algorithm fusion and tracking algorithm of autonomous scheduling. It can improve the adaptive and autonomous decision-making tracking ability when the diversity tasks are carried out.

Paper Details

Date Published: 7 November 2018
PDF: 8 pages
Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108321O (7 November 2018); doi: 10.1117/12.2511833
Show Author Affiliations
Zili Tang, People's Liberation Army (China)
Wenwu Jia, People's Liberation Army (China)
Yuanyuan Zhou, People's Liberation Army (China)
Zengbo Jiang, People's Liberation Army (China)
Qiuping Hu, People's Liberation Army (China)


Published in SPIE Proceedings Vol. 10832:
Fifth Conference on Frontiers in Optical Imaging Technology and Applications
Junhao Chu; Wenqing Liu; Huilin Jiang, Editor(s)

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