Foreground segmentation using convolutional neural networks for multiscale feature encoding
Abstract
null null Several methods have been proposed to solve moving objects segmentation problem accurately in different scenes. However, many of them lack the ability of handling various difficult scenarios such as illumination changes, background or camera motion, camouflage effect, shadow etc. To address these issues, we propose two robust encoder-decoder type neural networks that generate multi-scale feature encodings in different ways and can be...
Paper Details
Title
Foreground segmentation using convolutional neural networks for multiscale feature encoding
Published Date
Sep 1, 2018
Journal
Volume
112
Pages
256 - 262
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