The Implement of High Speed Correlation Tracking Algorithm Based on FPGA in Space Solar Telescope

Author(s):  
Chang-song Li ◽  
Sheng-zhen Jin
2000 ◽  
Vol 179 ◽  
pp. 141-147
Author(s):  
G. Ai ◽  
S. Jin ◽  
S. Wang ◽  
B. Ye ◽  
S. Yang

AbstractThe design of the space solar telescope (SST) (phase B) has been completed. The manufacturing is under development. At the end of 2000, it will be assembled. The basic aspect will be introduced in this paper.


Optik ◽  
2021 ◽  
Vol 229 ◽  
pp. 166290
Author(s):  
Shuang Yang ◽  
Changshuai Du ◽  
Xianwei Yang ◽  
Chunlong Liu ◽  
Yan Xiong ◽  
...  

2021 ◽  
Vol 434 ◽  
pp. 268-284
Author(s):  
Muxi Jiang ◽  
Rui Li ◽  
Qisheng Liu ◽  
Yingjing Shi ◽  
Esteban Tlelo-Cuautle

Author(s):  
Zhipeng Li ◽  
Xiaolan Li ◽  
Ming Shi ◽  
Wenli Song ◽  
Guowei Zhao ◽  
...  

Snowboarding is a kind of sport that takes snowboarding as a tool, swivels and glides rapidly on the specified slope line, and completes all kinds of difficult actions in the air. Because the sport is in the state of high-speed movement, it is difficult to direct guidance during the sport, which is not conducive to athletes to find problems and correct them, so it is necessary to track the target track of snowboarding. The target tracking algorithm is the main solution to this task, but there are many problems in the existing target tracking algorithm that have not been solved, especially the target tracking accuracy in complex scenes is insufficient. Therefore, based on the advantages of the mean shift algorithm and Kalman algorithm, this paper proposes a better tracking algorithm for snowboard moving targets. In the method designed in this paper, in order to solve the problem, a multi-algorithm fusion target tracking algorithm is proposed. Firstly, the SIFT feature algorithm is used for rough matching to determine the fuzzy position of the target. Then, the good performance of the mean shift algorithm is used to further match the target position and determine the exact position of the target. Finally, the Kalman filtering algorithm is used to further improve the target tracking algorithm to solve the template trajectory prediction under occlusion and achieve the target trajectory tracking algorithm design of snowboarding.


2009 ◽  
Vol 52 (11) ◽  
pp. 1806-1809 ◽  
Author(s):  
Bo Chen ◽  
Zhen Liu ◽  
Lin Yang ◽  
Liang Gao ◽  
Fei He ◽  
...  

2005 ◽  
Author(s):  
Linghua Guo ◽  
Aimin Jiang ◽  
Zhaojun Liu ◽  
Xiaoqing Ding ◽  
Maofa Fang

2000 ◽  
Author(s):  
Caihong Sun ◽  
Guoxiang Ai ◽  
Shengzheng Jin ◽  
Zheng Zhu ◽  
Ruiying Guo

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