Cerda M, Girau B, 2011, "Motion decomposition for biological and non-biological movements" Perception 40 ECVP Abstract Supplement, page 130
Motion decomposition for biological and non-biological movements
M Cerda, B Girau
Recently, several studies have indicated that discontinuities in the motion flow are especially important, even critical, for the recognition of biological motion using simple body models and point-light stimuli [Casile et al, 2005 Journal of Vision 5(4) 348–360]. Supporting this idea, computational models indicate that a set of discontinuities detectors could be enough to code these patterns [Giese and Poggio, 2003 Nature Reviews Neuroscience 4(3)]. Is this kind of decomposition only associated to biological motion? We conducted statistical analysis over two available databases to address this question: human motion videos (KTH BD) like to clap, to wave and to fight and videos associated to egomotion actions (ICCV DB) like zooming, rotating and translating. We verify first that our analysis does not depend on the movement extraction technique and perform PCA decomposition over small patches of the optical flow. Our results confirm that discontinuities in biological motion are statistically representative but surprisingly this is also true for non-biological patterns, where the first 4 components, all of them discontinuities, represent already 99% of the total variance. These results could indicate that motion patterns areas like MST/KO where motion discontinuities responses have been reported may code a general representation of motion and not only a system specially adapted to biological motion.
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