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混合高斯背景更新算法在处理红外目标检测中,与其他算法相比有着明显的优势。然而传统的混合高斯背景更新算法仍然存在着不足,针对传统算法的不足,提出了有效的改进方法,使混合高斯背景更新算法的处理分为兴趣区和非兴趣区进行处理,在不同的区域采取不同的高斯分布个数和权值更新速率进行处理,同时通过改变不同的背景更新速率可以处理背景发生突变的情况和前景目标静止的情况,有效地提高了混合高斯背景更新算法检测红外目标的能力,仿真实验取得了较好的效果。
Hybrid Gaussian background update algorithm has obvious advantages over other algorithms in processing infrared target detection. However, the traditional hybrid Gaussian background updating algorithm still has its drawbacks. In order to overcome the shortcomings of the traditional algorithms, this paper proposes an effective method to improve the hybrid Gaussian background updating algorithm, which is divided into regions of interest and regions of interest for processing. Different numbers of Gaussian distributions and weight update rates, and at the same time, by changing different background update rates, the background mutation and the stationary target can be handled effectively and the hybrid Gaussian background update algorithm can effectively improve the ability of detecting infrared targets , The simulation experiment has achieved good results.