Deep background subtraction with scene-specific convolutional neural networks

IWSSIP 2016
Pages: 1 - 4
Published: May 23, 2016
Abstract
Background subtraction is usually based on low-level or hand-crafted features such as raw color components, gradients, or local binary patterns. As an improvement, we present a background subtraction algorithm based on spatial features learned with convolutional neural networks (ConvNets). Our algorithm uses a background model reduced to a single background image and a scene-specific training dataset to feed ConvNets that prove able to learn how...
Paper Details
Title
Deep background subtraction with scene-specific convolutional neural networks
Published Date
May 23, 2016
Journal
Pages
1 - 4
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