  We present a sparse coding-based framework for motion style decomposition and
synthesis. Dynamic Time Warping is firstly used to synchronized input motions
in the time domain as a pre-processing step. A sparse coding-based
decomposition has been proposed, we also introduce the idea of core component
and basic motion. Decomposed motions are then combined, transfer to synthesize
new motions. Lastly, we develop limb length constraint as a post-processing
step to remove distortion skeletons. Our framework has the advantage of less
time-consuming, no manual alignment and large dataset requirement. As a result,
our experiments show smooth and natural synthesized motion.
