Foreground extraction of air traffic management system surveillance video based on gaussian mixture model

The use of video surveillance in air traffic management system is particularly important. For the application of moving target detection technology in air traffic management system, there are still problems such as slow detection speed, low detection accuracy and poor environmental adaptability. In order to solve the above problems in air traffic management system, a Gaussian mixture model based on multi-channel video information is proposed for foreground extraction. This module algorithm builds a Gaussian mixture model for the three channels of RGB image to form an aggregation model, adopts a minimum update strategy, and uses image morphology processing of foreground mask and HSV color space algorithm to process. The results show that this algorithm effectively solves the problems of slow detection speed, low detection accuracy and poor environmental adaptability of moving target detection technology in air traffic management system.