A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
In the process of traditional urban enforcement supervision, the illegal building detection are mainly based on the inspection of the naked eye. Due to factors such as fatigue and the environment, the detection efficiency is low and it is error-prone. This article focuses on the automatic detection algorithm of fixed-point monitoring video images as samples, and performs background separation, match, repair and other pre-processing on the sampled video images of different phases. For thedoi:10.12783/dtcse/amms2018/26211 fatcat:l6inzijsajdlrjp4nhifcrmpli