Human motion recognition using an eigenspace

This paper describes a method for representing and/or recognizing human motion using an eigenspace analysis, referred to a tuned eigenspace, that is responsible for storing various human motions in terms of their sequential postures in an eigenspace and for recognizing unfamiliar posture and/or motion from the tuned eigenspace. We have also analyzed human dress texture problem, caused by wearing clothes, in the proposed method. The performed experiments include representation and recognition of (i) 6 actions of a cricket umpire played by 22 persons wearing respective dresses, and (ii) a turning motion given by a particular person wearing 10 typical clothes. The experimental results show a satisfactory performance of the proposed method for representing and recognizing human posture and/or motion overcoming the dress problem.