Key Frame Extraction Using Central Distance Feature for Human Motion Data
Shu‐Juan Peng · Jisuanji fangzhen · 2012
The key frames of the motion capture data are the concise description for the original motion sequence,which play an important role for the motion compression,motion retrieval and motion segmentation.A key frame extraction method based on the central distance features for the human motion capture data was proposed.The approach was divided into three main stages.In the first stage,a set of central distance features from the center joint ROOT to limbs was selected,and those features were divided into the upper and lower limbs norms.In the second stage,PCA method was used to get the one dimension principal component,which was used to extract the local optimum as the initial key frames.In the last stage,the initial key frames were filtered and inserted to get the final key frames.Experimental results show that the proposed method can get the needed key frames,which can have good visual generalization of the original motion sequence,and also be of high compression ratio as well.