关键词: 背景建模, 核密度估计, 背景样本集直方图, 实时性

Abstract: 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 kernel-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.

Key words: background modeling, kernel density estimation, histogram of the background sample set, real-timing