对传统运动检测算法改进的研究

Research on the Improvement of Traditional Movement Detection Algorithm

基于背景减除法和时域差分法,并对这两种算法加以了改进,综合二者优点,提出了一种新的运动检测方法。以便于视觉监视中快速、准确地分割出运动目标。同时把分割出的运动目标用区域而不是轮廓二值图表示。以下的改进方案经实验证明可以实时地分割出运动目标,效果也较好。

This paper puts forward a new motion detection method,which is based on the background substracting method and time threshold dividing method,and improves these two approachs. So,we can get a more accurate and fast level to divide the moving object in vision monitoring. The obtained moving object is showed by region but not outline two outcomes chart. This improves project has been testified can get a more perfect effect.