摘要
在针对高速运动目标进行图像采集时,高速运动目标动态性强,进行模糊的图像采集效果不良,同时高速运动目标的特征性结构复杂,在对高速运动目标进行图像采集时追踪目标较为困难,为更好解决这一技术性问题,本文提出基于图像分块模板匹配的高速运动目标追踪技术。试验针对高速运动设计图像采集模型并同时对高速运动目标边特征点缘采用灰度直方图的方法,从而减少高速运动目标图像的动态特征点模糊,再对图像进行分块处理,通过分块模板匹配技术对高速运动目标进行追踪识别。通过试验数据以及具体分析,证明该方法相比于传统方法具有优越性,有重要的发展意义。
In the process of image acquisition for high-speed moving target,the dynamic of the target is strong in high-speed motion,the effect of fuzzy image acquisition is poor,and the characteristic structure of high-speed mov⁃ing target is complex,so it is difficult to track the target in the process of image acquisition for high-speed moving tar⁃get.In order to solve this technical problem,a high-speed moving target tracking technology based on image block template matching is proposed.The image acquisition model designed for high-speed motion and the gray histogram method is used for the edge feature points of high-speed moving target to reduce the blur of dynamic feature points of high-speed moving target image.The image is divided into blocks,and the high-speed moving target is tracked and identified by block templet matching technology.Through the experimental data and specific analysis,this method is superior to the traditional method and has important development significance.
作者
张天宇
ZHANG Tianyu(Beijing University of Posts and Telecommunications,Beijing 100000)
出处
《河南科技》
2021年第21期20-22,共3页
Henan Science and Technology
关键词
图像分块模板匹配
高速运动目标
追踪
image block template matching
high-speed moving target
track
作者简介
张天宇(1996—),男,硕士研究生,研究方向:人工智能目标追踪。
