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Proceedings Paper • new

A spatial moving target recognition algorithm based on full information vector
Author(s): Yun Du; Desheng Wen; Guizhong Liu; Hongwei Yi; Meiying Liu; Junli Fang
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Paper Abstract

In this paper, a full information vector recognition algorithm for moving targets is proposed on the basis of the characteristic distribution of point targets and the moving characteristic between frames. The traditional multi -frame image fusion method of moving target recognition is abandoned. We utilize the distribution characteristic of point targets extracted from single image and moving characteristic of point targets extracted from multiple images to recognize and classify moving targets with the similarity principle of feature vector. Compared with the traditional maximum likelihood estimation image processing algorithm, the proposed recognition method costs less computation and provides a novel approach for spatial moving target detection and recognition.

Paper Details

Date Published: 24 January 2019
PDF: 8 pages
Proc. SPIE 11052, Third International Conference on Photonics and Optical Engineering, 1105210 (24 January 2019); doi: 10.1117/12.2521938
Show Author Affiliations
Yun Du, Xi'an Institute of Optics and Precision Mechanics (China)
Xi’an Jiaotong Univ. (China)
Univ. of Chinese Academy of Sciences (China)
Desheng Wen, Xi'an Institute of Optics and Precision Mechanics (China)
Guizhong Liu, Xi'an Jiaotong Univ. (China)
Hongwei Yi, Xi'an Institute of Optics and Precision Mechanics (China)
Meiying Liu, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Junli Fang, Lanzhou Univ. of Technology (China)


Published in SPIE Proceedings Vol. 11052:
Third International Conference on Photonics and Optical Engineering
Ailing Tian, Editor(s)

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