基于混合高斯模型的窄带目标跟踪方法

摘要

The method of trajectory distribution fusion based on Gaussian mixture model(GMM)is suitable for narrowband target tracking system. Aiming at the problems of inaccurate, ambiguous and narrowband tracking of widehand tracking results, an algorithm based on hybrid Gaussian model is proposed for automatic narrowband target tracking. Target azimuth distribution is regarded as mixed Gaussian model.and the expectation maximization algorithm is used to e.stimate the parameters of the mixed Gaussian ruodel. Gaussian mixture model is used to cluster target azimuth. Target weighting method is used to fuse the target azimuth, and get clear and stable target tracking results.The method of trajectory distribution fusion based on Gaussian mixture model(GMM)is suitable for narrowband target tracking system. Aiming at the problems of inaccurate, ambiguous and narrowband tracking of widehand tracking results, an algorithm based on hybrid Gaussian model is proposed for automatic narrowband target tracking. Target azimuth distribution is regarded as mixed Gaussian model.and the expectation maximization algorithm is used to e.stimate the parameters of the mixed Gaussian ruodel. Gaussian mixture model is used to cluster target azimuth. Target weighting method is used to fuse the target azimuth, and get clear and stable target tracking results.%基于混合高斯模型的轨迹分布融合方法适用于窄带目标跟踪系统.这种算法针对宽带跟踪结果的不精确,目标模糊,窄带跟踪需要依赖人工实现的问题,提出了一种基于混合高斯模型的自动窄带目标跟踪技术.该方法首先将目标方位分布看做是混合高斯模型,利用期望最大化算法估计混合高斯模型中的参数,然后利用混合高斯模型对目标方位进行聚类,最后利用平均加权法对目标方位进行融合,得到清晰稳定的目标跟踪结果.