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作 者:赵莉苹 邱秀荣[2] ZHAO Li-ping;QIU Xiu-rong(School of Information Engineering,Zhengzhou University of Science and Technology,Zhengzhou 450064,China;School of Information and Electronics Engineering,Shangqiu Institute of Technology,Shangqiu 476000,China)
机构地区:[1]郑州科技学院信息工程学院,郑州450064 [2]商丘工学院信息与电子工程学院,河南商丘476000
出 处:《沈阳工业大学学报》2021年第5期569-572,共4页Journal of Shenyang University of Technology
基 金:河南省高等学校重点科研项目(18B520031).
摘 要:针对传统高速运动图像自动识别方法存在识别误差较高,用时过长,效果较差的问题,提出基于射频技术的高速运动图像自动识别模型.通过智能摄像头对高速运动图像进行采集,采用射频技术读取采集得到的高速运动图像编码,并对高速运动图像进行分析,再建立目标动图像尺度空间模型,将高速运动图像特征向量描述为特征点,并对其进行匹配,同时结合几何区域限定来完成识别.结果表明,所提模型在识别过程中识别误差较低,且识别用时较短,效果较好.Aiming at the problems of high recognition error,long recognition time and poor results of traditional automatic recognition methods for high-speed moving images,an automatic recognition model for high-speed moving images based on a radio frequency(RF)technology was proposed.The high-speed moving images were collected by a smart camera,and the codes of collected high-speed moving images were read by the RF technology.The high-speed moving images were analyzed,and a scales space model for moving target images was established.The feature vectors of high-speed moving images were described as feature points,and the feature points were matched and identified in combination with geometric region definition.The results show that the as-proposed model has a low recognition error and a short recognition time in the process,and the recognition effect is better.
关 键 词:射频技术 高速运动图像 自动识别 几何区域限定 尺度空间模型 图像编码 读写器 高斯函数
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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