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OALib Journal期刊
ISSN: 2333-9721
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？相机抖动场景下的运动前景检测算法？
DOI: 10.13232/j.cnki.jnju.2015.02.002, PP. 219-226
Keywords: 前景检测,相机抖动,非参数核密度,mean-shift,信息熵
Abstract:
？前景检测是视频监控中信息提取的关键，而相机抖动造成背景边缘的像素极易误检为前景像素，降低前景检测的精确度.为此，文中提出相机抖动场景下一种基于运动信息的前景检测算法：分析二值图像中候选前景点的运动信息，构建非参数的背景运动信息分布模型；计算候选前景的运动信息与背景模型的概率似然性，由自适应的阈值控制来确定真实前景，该自适应阈值由mean-shift及信息熵算法共同确定，可以克服单个的全局阈值对场景变化适应能力差问题；针对检测到的前景点和背景点的运动信息，采用首进首出的策略更新背景运动信息分布模型，提高模型对场景实时变化的适应性.实验结果表明，该算法具有良好的鲁棒性，能有效地检测相机抖动场景下的运动前景.
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