基于人工智能技术的红外激光成像目标跟踪方法  

Target tracking method for infrared laser imaging based on artificial intelligence technology

作　　者：康晶晶 KANG Jingjing(Information Engineering College,Jinzhong Information College,Jinzhong Shanxi 030800,China)

机构地区：[1]晋中信息学院信息工程学院,山西晋中030800

出　　处：《激光杂志》2024年第11期220-224,共5页Laser Journal

基　　金：国家重点研发计划项目(No.2022YFB3305503);山西省高等学校科技创新项目(No.2023L521)。

摘　　要：以往的红外激光成像目标跟踪方法由于仅提取了红外激光成像目标的单一特征,导致方法的跟踪效果较差。因此,设计了基于人工智能技术的红外激光成像目标跟踪方法。利用红外激光成像设备,获取大量的目标数据,并对目标数据进行修正处理,由此构建红外激光成像目标模型,在人工智能技术的作用下,提取出红外激光成像目标的形状特征、边缘特征、纹理特征等多个特征,并计算特征相似量,对提取特征和候选特征进行匹配,通过计算特征的均值偏移量,确定红外激光成像目标的位置。通过上述的设计,完成对红外激光成像目标跟踪方法的设计。实验测试结果表明,本方法的跟踪鲁棒性可达99.11%,EAO可达99%,红外激光成像目标跟踪效果较好。Previous infrared laser imaging target tracking methods have poor tracking performance due to only extracting a single feature of the infrared laser imaging target.Therefore,an infrared laser imaging target tracking method based on artificial intelligence technology was designed.By using infrared laser imaging equipment,a large amount of target data is obtained and corrected to construct an infrared laser imaging target model.With the help of artificial intelligence technology,multiple features such as shape,edge,and texture of the infrared laser imaging target are extracted,and feature similarity is calculated.The extracted features are matched with candidate features,and the mean shift of the features is calculated,Determine the position of the infrared laser imaging target.Through the above design,complete the design of the infrared laser imaging target tracking method.The experimental test results show that the tracking robustness of the proposed method can reach 99.11%,the EAO can reach 99%,and the infrared laser imaging target tracking effect is good.

关 键 词：人工智能技术 红外激光 激光成像 目标跟踪 跟踪方法 方法设计 

分 类 号：TN642[电子电信—电路与系统]