WANG Xingbin, ZHANG Jun, WANG Shuaihui. The Cat's Eye Effect Target Recognition Method Based on Visual Attention[J]. Chinese Journal of Electronics, 2019, 28(5): 1080-1086. doi: 10.1049/cje.2019.06.027
Citation: WANG Xingbin, ZHANG Jun, WANG Shuaihui. The Cat's Eye Effect Target Recognition Method Based on Visual Attention[J]. Chinese Journal of Electronics, 2019, 28(5): 1080-1086. doi: 10.1049/cje.2019.06.027

The Cat's Eye Effect Target Recognition Method Based on Visual Attention

doi: 10.1049/cje.2019.06.027
Funds:  This work is supported by the Hubei Superior and Distinctive Discipline Group of "Mechatronics and Automobiles" (No.XKQ2019031).
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  • Corresponding author: ZHANG Jun (corresponding author) was born in 1985.He received the Ph.D.degree in computer architecture from Institute of Computing Technology,CAS.He is a assistant professor of Hubei University of Arts and Science.His research interests include computer architecture security and machine learning.(Email:zhangjunhbxf@163.com)
  • Received Date: 2018-01-02
  • Rev Recd Date: 2018-06-21
  • Publish Date: 2019-09-10
  • The Cat's eye effect target recognition method based on visual attention (CTRVA) is proposed. The difference image can be processed by a designed second-directional derivative filter at eight directional channels. Morphological method is employed to deal with the filtered image in all directions, which ensures that target can be easily distinguished from background. The salient maps for each channel where the potential targets exist are calculated through the spectral residual approach, and the "target-saliency" map is computed by a designed saliency fusing method. The coarse detection is performed by the adaptive threshold to extract candidate targets from the "target-saliency" map. The real target region is identified by the characteristics of the cat's eye effect target. Experimental results show that the proposed method is efficient and has an outstanding performance for cat's eye effect target detection.
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