Perception of Human Periodic Motion in Moving Light Displays

摘要

We present a feature-based frequency-domain technique for modelling and recognizing human periodic movements in moving light displays (MLDs). Periodic motions arc modelled by motion templates composed of a set of feature power vectors. Feature power vectors are extracted from unidentified trajectories of feature points using motion power spectra! analysis. Motion recognition therefore is carried out in the frequency domain by finding a best match among restored templates. This method contrasts with common spatio-temporal approaches. Recognition is demonstrated through examples of human periodic motion with data obtained from a marker-based motion capture system.