Multiscale motion saliency for keyframe extraction from motion capture sequences

摘要

Motion capture is an increasingly popular animation technique; however data acquired by motion capture can becomensubstantial. This makes it difficult to use motion capture data in a number of applications, such as motion editing, motionnunderstanding, automatic motion summarization, motion thumbnail generation, or motion database search and retrieval. Tonovercome this limitation, we propose an automatic approach to extract keyframes from a motion capture sequence.We treatnthe input sequence as motion curves, and obtain the most salient parts of these curves using a new proposed metric, calledn’motion saliency’.We select the curves to be analysed by a dimension reduction technique, Principal Component Analysisn(PCA). We then apply frame reduction techniques to extract the most important frames as keyframes of the motion. Withnthis approach, around 8% of the frames are selected to be keyframes for motion capture sequences. Copyright © 2010nJohn Wiley & Sons, Ltd.