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Implementation of Kalman filter with suitable tracking example

于 2022-08-13 发布 文件大小:199.18 kB
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卡尔曼滤波有很多用途,包括在控制、导航、计算机视觉和时间序列计量经济学中的应用。这个例子说明了如何使用Kalman滤波器来跟踪目标,并重点介绍了三个重要的问题特点:预测目标的未来定位减少由不准确检测引入的噪声促进多个目标与其轨迹的关联过程目标跟踪的问题是位置和位置的估计图像序列中运动物体的其他相关信息两帧跟踪可以使用基于相关的匹配方法、光流技术或基于变化的运动物体检测方法来完成

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