基于仿斑马鱼和仿鹰眼视觉的复杂背景下目标识别
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中国农业大学

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国家重点研发计划项目(2022YFD2001405)、自然资源部超大城市自然资源时空大数据分析应用重点实验室开放基金项目(KFKT-2022-05)、浙江省农业智能装备与机器人重点实验室开放课题项目(2023ZJZD2306)、自然资源部城市国土资源监测与仿真重点实验室开放基金项目(KF-2021-06-115)、深圳市科技计划项目(ZDSYS20210623091808026)、虚拟现实技术与系统全国重点实验室(北京航空航天大学)开放课题基金项目(VRLAB2022C10)、能源清洁利用国家重点实验室开放基金课题项目(ZJUCEU2022002)、中国农业大学2115人才工程项目

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Target recognition in complex background inspired by zebrafish and eagle eye vision
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China Agricultural University

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This project is supported by the National Key Research and Development Plan Project (No.2022YFD2001405), and the Open Fund of Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, MNR (No.KFKT-2022-05), and the Open Subject of Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province (No.2023ZJZD2306), and the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (No.KF-2021-06-115), and Science and Technology Plan Project of Shenzhen (No.ZDSYS20210623091808026), the Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University(No. VRLAB2022C10), and the Open Project of State Key Laboratory of Clean Energy Utilization, Zhejiang University(No.ZJUCEU2022002), and 2115 Talent Project of China Agricultural University.

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    摘要:

    针对反制无人机识别系统在公共场所内部复杂背景下的无人机识别问题,本文研究了一种基于仿斑马鱼模板匹配视觉识别和仿鹰眼视觉注意的目标识别方法,通过建立不同姿态的无人机模板数据库,采用仿鹰眼视觉搜索机制,结合尺度不变特征变换将姿态模板图像与目标进行匹配,获得粗略的目标区域。然后计算模板姿态与目标姿态的 Hausdorff 距离比较相似性,获得最相似姿态。采用仿鹰眼视觉注意机制对遮挡图像进行处理,提高目标识别的显著性。实验结果表明,该方法能够在不同复杂背景下实现无人机的准确识别,与光谱残差的显著性目标识别方法相比,平均运行时间提高23.5%,相比差异哈希算法具有更高的结构相似性指数。

    Abstract:

    To meet the requirements of anti-drone recognition system for drone recognition in the complex background within public places, a target recognition method based on Zebrafish template matching vision recognition and eagle eye visual attention was studied in this paper. By establishing a dataset of drone templates with different postures, combining the eagle eye visual search mechanism with scale invariant feature transformation, the attitude template image is matched with the target to obtain a rough target area. Then calculate the similarity of the Hausdorff distance between the template pose and the target pose to obtain the most similar pose. Experimental results showed that, the anti UAV recognition system can realize the recognition of drones in different complex backgrounds. Compared with the significance target recognition method based on spectral residuals, the average running time is improved by 23.5%. The proposed algorithm has a higher structural similarity index than the differential hash algorithm for finding similar template poses.

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引用本文

徐韵哲,陈建.基于仿斑马鱼和仿鹰眼视觉的复杂背景下目标识别 [J].集成技术,

Citing format
Xu Yunzhe, Chen Jian. Target recognition in complex background inspired by zebrafish and eagle eye vision[J]. Journal of Integration Technology.

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  • 收稿日期:2023-07-24
  • 最后修改日期:2023-07-24
  • 录用日期:2024-01-16
  • 在线发布日期: 2024-01-16
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