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基于高斯滤波的移动对象轨迹化简实时算法
Real-time trajectory simplification algorithm of moving object based on Gauss filtering
【摘要】 基于PLAZA和高斯图像滤波,研究了带有定位误差的移动对象轨迹化简算法。所设计的算法主要应用于移动终端设备,能够对定位设备采集到的移动对象原始轨迹数据进行简化,降低移动终端的通信代价和计算开销,提高轨迹数据的使用效率和价值。算法按照时间序列的处理思想,同时利用信号去噪的方法对原始的定位信号进行滤波,可以达到降低误差影响和减小数据冗余的效果。然后按照PLAZA算法的思想进行化简。实验结果证实该算法具有较好的化简率和较快的处理速度,实际应用表明该算法有较好实用价值。
【Abstract】 Based on PLAZA and Gauss image filtering, the research is about simplification algorithm of moving object trajectories with positioning error. The algorithm, which is mainly applied to the mobile terminal, is able to simplify the original trajectory of moving object, and reduce the communication and computation cost of mobile terminal. Thus the algorithm can improve the efficiency and value of track data. According to the thought of time series method and signal doeoising, the algorithm first process the original position data with gauss filter, which can decrease the influence of location error. And then simplify the trajectory according to the theory of PLAZA algorithm. The experimental results confirmed that the algorithm has better reduction rate and faster processing speed, the practical application show that this algorithm has better use value in real life.
【Key words】 moving object; real-time trajectory simplification; location error; filtering;
- 【文献出处】 微型机与应用 ,Microcomputer & Its Applications , 编辑部邮箱 ,2015年13期
- 【分类号】TP311.13
- 【下载频次】87