Human Motion Capture Data Segmentation Based on Geometric Features
Chunsheng Feng · Jisuanji fangzhen · 2007
Motion capture is frequently used in virtual simulation. In order to segment the motion data into small clips automatically, an approach was proposed based on geometric features. The data can be automatically segmented into stability clips which describe the behaviors and transition clips which connect two stability clips. The approach was divided in three main stages. In the first stage, a set of geometric features was selected. In the second stage, PCA method was used to construct a final feature function and an evaluation function. In the last stage, stability clips and transition clips from the feature function were generated by normalization, low-pass filter and detecting the scope transition. Experimental results show that this approach provides the good performance.