International Journal of Computer Science and Network Security
Human motion capturing has become an important tool in fields such as sports sciences, biometrics, and particularly in computer animation, where large collections of motion material are accumulated in the production process. Efficient storage, retrieval and transmission methods are needed to fully exploit motion databases for reuse and for the synthesis of motions. In this paper, a compression method for 3D human motion data is proposed. The authors represent and compress the motion data using the clustering method and primary component analysis.