Journal of System Simulation
Abstract
Abstract: For solving cooperative target recognition problem in visual navigation, a fast and accurate algorithm based on progressive judgment of multiple features is proposed. The image is processed and judged by multiple features including image contours, Hu moment invariants and FAST corners. The non-target areas are eliminated and the real targets are obtained. In the process, algorithm is improved and some accelerated strategies are adopted to meet real-time requirements. Experiments show that the proposed algorithm can identify cooperative target robustly and adaptively with different distances, different angles and environment disturbance.
Recommended Citation
Sun, Guopeng; Hao, Xiangyang; Zhang, Zhenjie; and Yan, Pengrui
(2018)
"Cooperative Target Recognition with Multiple Features Judgment,"
Journal of System Simulation: Vol. 30:
Iss.
6, Article 47.
DOI: 10.16182/j.issn1004731x.joss.201806047
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/47
First Page
2377
Revised Date
2016-08-04
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201806047
Last Page
2383
CLC
TP391.41
Recommended Citation
Sun Guopeng, Hao Xiangyang, Zhang Zhenjie, Yan Pengrui. Cooperative Target Recognition with Multiple Features Judgment[J]. Journal of System Simulation, 2018, 30(6): 2377-2383.
DOI
10.16182/j.issn1004731x.joss.201806047
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