Detecting and Segmenting Periodic Motion

A new algorithm is presented for the detection and segmentation of multiple periodic motions in image sequences A periodicity measure which provides an accurate quantitative measure of sig nal periodicity in the form of temporal harmonic energy ratio is proposed The periodicity tem plates which incorporate the segmented region with the associated periodicity energy distribu tion and motion fundamental frequencies provide a new means of periodic motion representation The algorithm is computationally simple and ro bust in the presence of noise Real world exam ples are used to illustrate the techniques

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