Small Moving Target Detection Model Based on Improved Mixed Disturbance Gauss Model
Abstract: In order to obtain
ideal moving target detection results, a kind of moving target detection algorithm
of improved mixture Gaussian model is proposed in this paper on the basis of
analyzing the deficiency oftraditional Mixture Gaussian model. Firstly, in this
algorithm, the update rate is increased to better adapt to the change of
environment and the idea of pixel connected region is introduced to remove the
noise, then the invariance property of chroma is adopted to avoid arising of
“shadow” phenomenon; finally, simulation comparison experiment is used to test
its performance. The experiment results show that this algorithm can generate
reliable background image and accurately and completely detect the moving
target to obtainmore superior detection results of comparison algorithm, which
can meet the practical application requirement of target tracking.
Author: Ting Bai, Jinwen Tian,
Xiao Sun
Journal Code: jptkomputergg160025
