基于图像分块模板匹配的高速运动目标跟踪技术

High speed moving target tracking technology based on image block template matching

高速运动目标图像采集的动态性较强,模糊跟踪效果不好,动态特征点分布结构复杂,对高速运动场景下动态特征点自动跟踪难度较大,提出一种基于图像分块模板匹配的高速运动目标跟踪技术。设计高速运动目标图像采集模型和运动特征点的边缘特征检测算法,采用灰度直方图降噪方法抑制高速运动目标图像动态特征点边缘模糊集,采用分块检测方法进行高速运动目标区域重构,在仿射不变区域中进行运动目标的边缘轮廓检测和特征点匹配,采用图像分块模板匹配方法实现高速运动目标的自动跟踪识别。仿真结果表明,采用该方法进行高速运动目标跟踪的准确性较高,对目标的定位性能较好。

High speed moving target image acquisition is more dynamic,fuzzy tracking effect is not good,the distribution structure of dynamic feature points is complex,and it is difficult to automatically track dynamic feature points in high speed moving scene.A high speed moving target tracking technique based on image block template matching is proposed.The image acquisition model of high speed moving object and the edge feature detection algorithm of moving feature point are designed.The gray histogram denoising method is used to suppress the edge fuzzy set of dynamic feature point of high speed moving object image.Block detection method is used to reconstruct high speed moving target region,edge contour detection and feature point matching are performed in affine invariant region,and image block template matching method is used to realize automatic tracking and recognition of high speed moving target.The simulation results show that the method is accurate and has good localization performance.