Proceeding of Non-rigid Motion Analysis
非刚性运动分析方法的现状与展望

The visual analysis of non rigid motion is becoming a major area in computer vision. A classification of non rigid motion performed by objects on various degrees of non rigidity is elucidated in this paper according to the curvature changes of the objects, indicating that an 8 class scheme can cover all the objects from rigidity to high non rigidity. A large number of existing approaches in this area are surveyed and divided into two major categories: feature based methods and model based methods, and the advantages and disadvantages of the two classes are discussed respectively. The last section of this paper expatiates on the difficulties confronted by non rigid motion analysis and expects its possible future directions. Non rigid motion analysis is a burgeoning research area but still in its early development. The available body of research has begun to make inroads into only a few of the many difficult problems. Most of the extant models are far from perfect and people are far from a general solution to this problem. Some related research fields, such as speech recognition and computer graphics, may benefit this field.