基于轨迹相似度的目标典型航迹生成方法

Generation Method for Target Typical Track Based on Trajectory Similarity

随着目标探测手段的不断更新,大量的目标轨迹数据得以保存与积累。为了在海量目标轨迹数据中挖掘目标典型运动路线,提出了基于轨迹相似度的目标典型航迹生成方法。首先,利用相似度算法计算轨迹间的相似度;然后,将具有较高相似度的轨迹进行聚类,并对不同聚类中的轨迹进行拟合;最后,通过计算得到目标的典型航迹。实测表明,该方法可高效准确地生成目标典型航迹,从而提高了用户工作效率。

With continuous updating of target detection means,a large number of target trajectory data is saved and accumulated.To mine the typical motion route of targets in the massive target trajectory data,the generation method for target typical track based on trajectory similarity is proposed.Firstly,the similarity between the trajectories is calculated through the similarity algorithm.Then,the trajectories with high similarity are clustered,and trajectories in different clusters are fitted.Finally,the typical track of the target is obtained by calculation.The experimental results show that the method can generate the target typical track efficiently and accurately.Thus,the user′s work efficiency can be enhanced.