图像分块模板匹配的高速运动目标跟踪技术研究
2021-09-10张天宇
张天宇



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術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。
关键词:图像分块模板匹配;高速运动目标;追踪
中图分类号:TP391.41 文献标识码:A 文章编号:1003-5168(2021)21-0020-03
High Speed Moving Target Tracking based on Image Block Template
Matching
ZHANG Tianyu
(Beijing University of Posts and Telecommunications,Beijing 100000)
AbAbstract: 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 moving target is complex, so it is difficult to track the target in the process of image acquisition for high-speed moving target. 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.
Keywords: image block template matching; high-speed moving target; track
随着图像处理技术的快速发展,针对运动目标的采集以及进行动态追踪,尤其是对高速运动目标进行图像追踪识别,成为新的研究方向。在对动态图像的视觉特征的采集技术上进行改进,形成高速运动目标的动态追踪,同时结合相应的高速运动目标跟踪识别以及成像技术,增强对高速运动目标追踪识别的能力。结合图像采集、信息融合、特征提取等技术,建立高速运动追踪图像处理技术,对特征提取结果进行分析,同时完成对高速运动目标的追踪,对于高速运动目标的追踪及成像处理具有重要的研究意义。
文献中提出一种基于传输的融合跟踪方法:对高速运动目标采用位移偏差纠正进行图像的特征点匹配。……
