【摘要】 在基于视频的交通流检测系统中,静止背景的快速准确提取是基础。背景的提取主要分为模型法和非模型法,非模型法的算法复杂度低,能满足交通流检测实时性要求。论文比较和分析了均值法、直方图统计法、中值滤波法和背景学习法四种常用的背景提取方法。并通过实际的交通视频测试比较了四种方法。更多还原

【Abstract】 Background extraction is a fundamental and critical task in video traffic detection system.Approaches of background extraction can be divided into two groups,that are the methods based on model and the model-free methods.With lower time-consuming feature,model-free methods can satisfy the demand on real-time processing in video traffic detection system.This essay compares four common model-free methods,including medial filtering,histogram method,median filtering,and background learning method by analyzing traffic video,and gains a conclusion on their features.更多还原