Applying the Technology of Moving Target Detection in Missile Training Equipment

Author:

Zhou Guoqing1,Wang Xinghui2,Li Xinrong2

Affiliation:

1. Department of Science and Engineering, Chaoyang TV University, Chaoyang 122000, P. R. China

2. School of Computer and Remote Sensing Information Technology, North China Institute of Aerospace Engineering, Langfang 065000, P. R. China

Abstract

The process of missile launch training was confined to the virtual scene in the past. So, cooperating with an artillery college, the group makes the moving target detection technology to be applied in missile training equipment, so as to make the training apply to the field operations. This paper presents the frame difference mapping algorithm, which is used to detect the moving target in the background of moving video frame. According to the target region which is given out by the system in the graphical interface, the students do the launching missile training. The moving target detection algorithm which is provided with the low complexity and the high accuracy, i.e. proposed by the paper, is based on Gauss mixture model and frame difference mapping. The mechanism of layered-graphics and the message agent which makes the modules in the system be independent of each other are used in the system designing. So, the module coupling degree in terms of this mechanism is lower than before. This mechanism brings convenience to system maintenance and upgrade, especially for the system’s transplanting to the real missile launch system in future.

Funder

Science and technology project of Hebei Province and Scientific research fund for young of North China Institute of Aerospace Engineering

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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1. Remote Sensing Image Target Recognition System of Tennis Sports based on CAMSHIFT Algorithm;2022 International Conference on Information System, Computing and Educational Technology (ICISCET);2022-05

2. Fast detection of moving objects based on sequential images processing;Journal of Intelligent & Fuzzy Systems;2020-10-21

3. Infrared Small Target Detection Based on Morphology and SUSAN Algorithm;International Journal of Pattern Recognition and Artificial Intelligence;2019-09-25

4. Designing on a Vehicle Body Control Module Performance Tester;International Journal of Pattern Recognition and Artificial Intelligence;2019-06-25

5. Nonsingular Fast Terminal Sliding Mode Control for Spinning Missiles Based on Extended State Observer;International Journal of Pattern Recognition and Artificial Intelligence;2018-10-11

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