Multi-moving target detection based on the combination of three frame difference algorithm and background difference algorithm

Hong He, S. Ma, Lei Sun
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引用次数: 4

Abstract

Aiming at the problem of ghosting detected by two-frame different method and the defects existed in the independent detection by inter-frame difference method and background difference method, three-frame difference method is proposed in this paper. That is, the different result between frame and frame can be calculated. The outline of the moving target is roughly marked to solve the problem of ghosting. At the same time, we combine the three frame difference method and the background difference method to get the algorithm of this paper. The algorithm uses a mixed Gaussian method to establish a background model and modify the variance update so that the background model fits with the real background and performs morphological processing to extract the moving target. The experimental results show that the combination of the three-frame difference method and the background difference method can effectively remove the noise and ghosting, which avoids inaccurate object extraction, caused by the background difference method and avoids the incomplete moving object of the inter-frame difference method.
基于三帧差分算法和背景差分算法相结合的多运动目标检测
针对二帧差分法检测重影的问题,以及帧间差分法和背景差分法独立检测存在的缺陷,本文提出了三帧差分法。也就是说,可以计算出帧与帧之间的不同结果。对运动目标轮廓进行粗略标记,解决了重影问题。同时,我们将三帧差分法和背景差分法结合起来,得到本文的算法。该算法采用混合高斯方法建立背景模型,修改方差更新,使背景模型与真实背景拟合,并进行形态学处理提取运动目标。实验结果表明,三帧差分法与背景差分法相结合可以有效去除噪声和重影,避免了背景差分法导致的目标提取不准确,避免了帧间差分法导致的目标移动不完全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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