Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model

摘要

Filtering and smoothing using a non-Gaussian state space model are proposed for motion trajectory of feature point in image sequence. A heavy-tailed non-Gaussian distribu- tion is used for measurement noise to reduce the effect of outliers in motion trajectory. Experimental results are presented to show the usefulness of the proposed method.