A Novel Trajectory Smoothing Algorithm Based on Empirical Mode Decomposition
This paper puts forward a novel trajectory smoothing algorithm based on empirical mode decomposition. In this method, the x andy coordinates series of the trajectories are respectively decomposed into different frequency parts through empirical mode decomposition; and then the high frequency parts of the coordinates are adaptively discarded; finally the residual and low frequency intrinsic mode functions are retained as the smoothed result. The experiments on trajectories from two different scenes show that the fluctuation in the trajectory, caused by the target deformation and occlusion, can be decreased effectively with this method and the result is better than wavelet decomposition.
Hejin Yuan
School of Computer Science & Technology North China Electric Power University Baoding , Hebei Province, China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
223-226
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）