基于扩展卡尔曼滤波的运动物体跟踪
首发时间:2011-05-20
摘要:卡尔曼滤波是一种线性最优估计方法,但是实际有很多非高斯分布模型需要观测。本文研究的扩展卡尔曼滤波就很好的解决这一问题,大大提高了卡尔曼滤波的适应性。本文首先介绍了扩展卡尔曼滤波的原理和特点,然后将卡尔曼滤波应用到运动物体跟踪。最后通过实验说明扩展卡尔曼滤波的优缺点。
For information in English, please click here
Moving Object Tracking Based on Extended Kalman Filter
Abstract:Kalman filter is a linear optimal estimation method, but in action there are a lot of non-Gaussian distribution model needs to be detected. In this paper, the extended Kalman filter is a good solution to this problem, it significantly improves the adaptability of the Kalman filter.At first, this paper introduces the principle and characteristics of extended Kalman filter and then applying it to the moving object tracking. Finally,experiment results show the advantages and disadvantages of extended Kalman filter.
Keywords: extended Kalman filter moving object tracking
基金:
论文图表:
引用
No.4427403591127130****
同行评议
勘误表
基于扩展卡尔曼滤波的运动物体跟踪
评论
全部评论0/1000