Extended Data Fig. 1: Qualitative comparison with the state-of-the-art in motion magnification.
From: Unsupervised behaviour analysis and magnification (uBAM) using deep learning

To compare our results with Oh et al.(30), we show five clips from different impaired subjects before and after magnification for both methods. First, we re-synthesize the healthy reference behavior to change the appearance to that of the impaired subject so differences in posture can be studied directly, first row (see Method). The second row is the query impaired sequence. Third and forth rows show the magnified frame using the method by Oh et al.(30) and our approach, respectively. The magnified results, represented by magenta markers, show that Oh et al. corrupts the subject appearance, while our method emphasises the differences in posture without altering the appearance. (Details in Supplementary).