关键词: 高斯混合模型, 背景更新, 运动目标检测

Abstract: In view of the background update problems based on Gaussian Mixture Model (GMM), such as sudden illumination change, mutual transformation between target and background, a new background auto-adapted update algorithm was proposed in this paper. First, the algorithm distinguished whether the sudden change of illumination occurred according to the current tested target size, and took pertinent updating measures. If there is not sudden change of illumination, the backgrouds of backgroud region and target region were updated seperately. The update of the target region was mainly discussed, and the method that adjusted the background update rate of the target region according to the targets characteristic parameters, such as size, velocity of movement and match times was proposed. The simulation results show that the algorithm not only guarantees the integrity of target detection, but also improves the adaptation of model to background changes.

Key words: Gaussian Mixture Model (GMM), background updating, moving objects detection