Learning Motion Patterns in Videos

Abstract

The problem of determining whether an object is in motion, irrespective of camera motion, is far from being solved. We address this challenging task by learning motion patterns in videos. The core of our approach is a fully convolutional network, which is learned entirely from synthetic video sequences, and their ground-truth optical flow and motion… (More)
DOI: 10.1109/CVPR.2017.64

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