基于仿斑马鱼和仿鹰眼视觉的复杂背景下目标识别
Target Recognition in Complex Background Inspired by Zebrafish and Eagle Eye Vision
摘要
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 compare the similarity of the target pose and obtain the most similar pose.Using the eagle eye visual attention mechanism to process occluded images and improve the saliency of target recognition.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.关键词
无人机识别/斑马鱼视觉/鹰眼视觉/模板匹配/视觉注意机制Key words
drone recognition/zebrafish vision/eagle eye vision/template matching/visual attention mechanism分类
信息技术与安全科学引用本文复制引用
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,2024,13(2):39-51,13.基金项目
国家重点研发计划项目(2022YFD2001405) （2022YFD2001405）
国家自然科学基金项目(51979275) （51979275）
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) （2023ZJZD2306）
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) （KFKT-2022-05）
深圳市科技计划资助项目(ZDSYS20210623091808026) （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) （北京航空航天大学）
能源清洁利用国家重点实验室开放基金课题项目(ZJUCEU2022002) （ZJUCEU2022002）
农业农村部长三角智慧农业技术重点实验室开放基金项目(KSAT-YRD2023005) （KSAT-YRD2023005）
农业农村部华南热带智慧农业技术重点实验室开放课题(HNZHNY-KFKT-202202) （HNZHNY-KFKT-202202）
高等教育科学研究规划课题重点课题(23XXK0304) （23XXK0304）
中国农业大学2115人才工程项目 This work is supported by National Key Research and Development Plan Project(2022YFD2001405),and National Natural Science Foundation of China(51979275),and Open Subject of Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province(2023ZJZD2306),and Open Fund of Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities,Ministry of Natural Resource(KFKT-2022-05),and Shenzhen Science and Technology Program(ZDSYS20210623091808026),Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems,Beihang University(VRLAB2022C10),and Open Project of State Key Laboratory of Clean Energy Utilization(ZJUCEU2022002),and Open Fund of Key Laboratory of Smart Agricultural Technology(Yangtze River Delta),Ministry of Agriculture and Rural Affairs(KSAT-YRD2023005),and Open Project Program of Key Laboratory of Smart Agricultural Technology in Tropical South China,Ministry of Agriculture and Rural Affairs(HNZHNY-KFKT-202202),and Higher Education Scientific Research Planning Project(23XXK0304),and 2115 Talent Development Program of China Agricultural University （2022YFD2001405）
