Motion background modeling based on context-encoder
Zhenshen Qu, Shimeng Yu, Mengyu Fu · 2016
A background modeling method for motion-based background of a video made by moving camera is proposed in this paper. We utilize the recently proposed context-encoder to model the motion-based background from a dynamic foreground. This method aims to restore the overall scene of a video by removing the moving foreground objects and learning the feature of its context. An advantage of this method is that the performance of background modeling will not be affected when the camera is moving fast.