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Human action recognition is one of the important fields of computer visionand machine learning. Although various methods have been proposed for 3D actionrecognition, some of which are basic and some use deep learning, the need ofbasic methods based on generalized eigenvalue problem is sensed for actionrecognition. This need is especially sensed because of having similar basicmethods in the field of face recognition such as eigenfaces and Fisherfaces. Inthis paper, we propose Roweisposes which uses Roweis discriminant analysis forgeneralized subspace learning. This method includes Fisherposes, eigenposes,supervised eigenposes, and double supervised eigenposes as its special cases.Roweisposes is a family of infinite number of action recongition methods whichlearn a discriminative subspace for embedding the body poses. Experiments onthe TST, UTKinect, and UCFKinect datasets verify the effectiveness of theproposed method for action recognition.

Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition