Original paper
A deep convolutional neural network for video sequence background subtraction
Abstract
In this work, we present a novel background subtraction from video sequences algorithm that uses a deep Convolutional Neural Network (CNN) to perform the segmentation. With this approach, feature engineering and parameter tuning become unnecessary since the network parameters can be learned from data by training a single CNN that can handle various video scenes. Additionally, we propose a new approach to estimate background model from video...
Paper Details
Title
A deep convolutional neural network for video sequence background subtraction
Published Date
Apr 1, 2018
Journal
Volume
76
Pages
635 - 649
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