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In this paper, we propose a crowd motion partitioning approach based on local-translational motion approximation in a scattered motion field. To represent crowd motion in an accurate and parsimonious way, we compute optical flow at the salient locations instead of at all the pixel locations. We then transform the problem of crowd motion partitioning into a problem of scattered motion field segmentation...
A fundamental question in theoretical neuro-science is to answer why neural systems can process information extremely fast. Here we investigate the effect of noise and neuronal collaborative activity on speeding up population decoding. We consider a one-dimensional stimulus encoded by a number of integrate-and-fire neurons. We find that 1) when noise is Poissionian, i.e., its variance is proportional...
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