The Cat's Eye Effect Target Recognition Method Based on Visual Attention. Issue 5 (1st September 2019)

• Record Type: Journal Article
• Authors: Wang, Xingbin; Zhang, Jun; Wang, Shuaihui
• Is Part Of: Chinese journal of electronics. Volume 28:Issue 5(2019)
• Page Start: 1080
• Page End: 1086
• Publication Date: 2019-09-01
• Subjects: Cat's eye effect target recognition method based on visual attention (CTRVA) -- Target recognition -- Saliency map; feature extraction -- image fusion -- object detection; target‐saliency map -- target region -- Cat's eye effect target recognition method -- visual attention -- second‐directional derivative filter -- directional channels -- morphological method -- potential targets exist -- designed saliency fusing method -- candidate targets; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2019.06.027
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : 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.