一种快速核密度估计背景建模方法

摘要

For kernel density estimation is difficult to satisfy real-time applications because of large amount of calculation, this paper proposes a fast kernel density estimation method of background modeling based on the background histogram. Triangle kernel function is used to estimate the kernel density. According to the triangular truncation effect of kemel-bandwidth function, background samples histogram is built to complete the fast background modeling. The accuracy of target detection is ensured while processing speed is increased. Experimental results prove that the algorithm satisfies the real-time requirements of surveillance systems.%针对核密度估计背景建模方法运算量大难以实时应用的问题,提出了一种基于背景直方图分布的快速核密度估计背景建模方法.选用三角核函数进行核密度估计,根据三角核带宽函数的截断效应,引入背景分布的直方图完成快速背景建模,在保证目标检测准确性的同时提高运算速度.测试实验结果验证了算法能够满足监控系统的实时性要求.