A deep convolutional neural network for video sequence background subtraction
作者：
Highlights：
• We propose a novel approach based on deep learning for background subtraction from video sequences.
• A new algorithm to generate background model has been proposed.
• Input image patches and their corresponding background images are fed into CNN to do background subtraction.
• We utilized median filter to enhance the segmentation results.
• Experiments of Change detection results confirm the performance of the proposed approach.
摘要
•We propose a novel approach based on deep learning for background subtraction from video sequences.•A new algorithm to generate background model has been proposed.•Input image patches and their corresponding background images are fed into CNN to do background subtraction.•We utilized median filter to enhance the segmentation results.•Experiments of Change detection results confirm the performance of the proposed approach.
论文关键词：Background subtraction,Video segmentation,CNN,Deep learning
论文评审过程：Received 23 December 2016, Revised 25 June 2017, Accepted 27 September 2017, Available online 29 September 2017, Version of Record 8 January 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.09.040
