计算机工程与应用Issue(10)：159-162,4.DOI:10.3778/j.issn.1002-8331.1209-0280
室外视频前景检测中的形态学改进ViBe算法
ViBe foreground detection algorithm and its improvement with morphology post-processing for outdoor scene
摘要
Abstract
Background subtraction is a foreground detection method, and the key step of which is the background modeling. GMM(Gaussian Mixture Model)background modeling method is used most widely. Recently a method called ViBe(Visual Background extractor)has caught more and more attention for its simplicity and high speed. It’s still difficult to detect the fore-ground for the outdoor video because of the the complex background, such as the shivering or trembling leaves of the trees. Regarding this fact, a morphology post-processing is used to filter the results of ViBe, i.e. with the opening operation to remove the noise, then with the closing operation to fill small voids within the object. The performance is evaluated with ROC curve. The results show that the performance is improved greatly with the morphology post-processing, for outdoor video Watersurface, TPR of the system performance is improved 31%after morphology processing when FPR is 1%.关键词
前景检测/ViBe算法/形态学处理/ROC曲线Key words
foreground detection/ViBe algorithm/morphology post-processing/ROC curve分类
信息技术与安全科学引用本文复制引用
孙水发,覃音诗,马先兵,雷帮军..室外视频前景检测中的形态学改进ViBe算法[J].计算机工程与应用,2013,(10):159-162,4.基金项目
国家自然科学基金项目（No.60972162，No.61102155，No.61272237）；湖北省高等学校优秀中青年科技创新团队计划项目（No.T201002）；湖北省教育厅青年科学基金项目（No.Q20111205）；宜昌市科学技术研究与开发项目（No.A09302-31）。 （）
