基于改进三帧差分和视觉背景提取的运动目标检测

Siyang Wu, Dongfang Chen, Xiaofeng Wang
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引用次数: 5

摘要

针对ViBe (Visual Background Extractor)算法中出现的幽灵现象,在分析常用的运动检测算法的基础上,提出了一种基于ViBe的改进算法。该方法采用帧差实时特征化方法,将三帧差图像与ViBe差图像进行逻辑运算,弥补了帧差法中运动对象总是出现空的现象,并快速消除了第一帧ViBe背景建模出现的“鬼影”现象。实验结果表明,改进的ViBe算法能够快速消除“鬼影”现象,具有良好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving target detection based on improved three frame difference and visual background extractor
In view of the ghost phenomenon appear in the ViBe (Visual Background Extractor) algorithm, by analyzing the common motion detection algorithm, this paper presents an improved algorithm based on ViBe. The method uses real-time characteristic method of frame difference, combines the three frames difference images and ViBe difference image to logical operation, it can make up the frame difference method of moving objects which always appears empty phenomenon, and quickly eliminate the first frame ViBe background modeling appears “ghost” phenomenon. The experimental results show that the improved ViBe algorithm can quickly eliminate the “ghost” phenomenon, and has good robustness.
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