基于混合高斯和平均背景的运动目标检测算法

Motion Objects Detection Algorithm Based On Gaussian Mixture and Average Background Subtraction

本文提出一种基于混合高斯模型和改进了的平均背景减除法来进行运动目标检测的算法。首先,运用混合高斯建立背景模型,然后结合改进的平均背景减除法来确定运动目标。实验结果表明,该算法准确性高,稳定性好,能满足实时监控的需要。

Motion objects detection algorithm based on Gaussian Mixture and Average Background Subtraction is presented in this paper. Firstly, a background model is based on Gaussian mixture, and then, combine with Average Background Subtraction which have been improved to detect the motion information. The simulation results show that the presented algorithm runs veraciously and steadily, and fits for real-time detection.