| Popis: |
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. |
