In order to high reality and efficiency,the technique of motion capture (MoCap) has been widely used in the field of computer animation.With the development of motion capture,a large amount of motion capture databases are available and this is significant for the reuse of motion data.But due to the high degree of freedoms and high capture frequency,the dimension of the motion capture data is usually very high and this will lead to a low efficiency in data processing.So how to process the high dimension data and design an efficient and effective retrieval approach has become a challenge which we can’t ignore.In this paper,first we lay out some problems about the key techniques in motion capture data processing.Then the existing approaches are analyzed and summarized.At last,some future work is proposed. In order to high reality and efficiency, the technique of motion capture (MoCap) has been widely used in the field of computer animation. Due the development of motion capture, a large amount of motion capture databases are available and this is significant for the reuse of motion data.But due to the high degree of freedoms and high capture frequency, the dimension of the motion capture data is usually very high and this will lead to a low efficiency in data processing. How to process the high dimension data and design an efficient and effective retrieval approach has become a challenge which we can not ignore.In this paper, first we lay out some problems about the key techniques in motion capture data processing.Then the existing approaches are analyzed and summarized. At last, some future work is proposed.