DocumentCode
3660227
Title
Missile vision guidance based-on adaptive image filtering
Author
Qiang Gao;Yijie Zou;Jianhua Zhang;Sheng Liu;Zhen Xie;Shengyong Chen
Author_Institution
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
fYear
2015
Firstpage
1371
Lastpage
1376
Abstract
A novel target tracking algorithm based on adaptive image filtering is proposed to realize missile vision guidance. According to the specific condition of application, we propose an adaptive filtering, light and effective motion model, and a fusion algorithm. Small target scale in the first, large scale variation during the procession, and the changing complex backgrounds can all be solved effectively by our algorithm. Simulated experiments show that our algorithm performs well with 15% distance error ratio, and more than 70% overlapping in average. The speed of real-time procession is faster than 300FPS.
Keywords
"Target tracking","Cameras","Missiles","Mathematical model","Adaptation models","Real-time systems","Roads"
Publisher
ieee
Conference_Titel
Information and Automation, 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICInfA.2015.7279500
Filename
7279500
Link To Document