Cooperative Target Recognition with Multiple Features Judgment

doi:10.16182/j.issn1004731x.joss.201806047

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.

Key words: cooperation target recognition, multiple features, image contours, Hu moment invariants, FAST

CLC Number:

TP391.41

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.

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