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对MPEG视频流行车障碍检测中虚警、漏警的研究
引用本文:李晨,雷斌.对MPEG视频流行车障碍检测中虚警、漏警的研究[J].适用技术之窗,2008(10):115-117.
作者姓名:李晨  雷斌
作者单位:西安工业大学,陕西西安710032
摘    要:本文在已有MPEG视频流行车障碍检测算法的基础上,从重要采样定理和Neyman—Pearson定理相结合的角度对如何在该算法中使虚漏警概率进行折中以降低误判识别的问题进行了理论阐述,并在已有MPEG视频流行车障碍检测算法的基础上对不同行驶状况下的检测阈值进行了经验总结。

关 键 词:MPEG  虚警概率  重要采样定理  Neyman—Pearson定理

The Calculation about False Alarm in Moving Vehicles Obstacle Detection from MPEG Code
Li Chen Lei Bin.The Calculation about False Alarm in Moving Vehicles Obstacle Detection from MPEG Code[J].Science & Technology Plaza,2008(10):115-117.
Authors:Li Chen Lei Bin
Affiliation:Li Chen Lei Bin(Xi'an Technological University, Shanxi Xi'an 710082)
Abstract:The MPEG code moving vehicles obstacle detection calculation has the benefits of researching in the compressed domain directly. For making it has more reliability,this paper elaborates the problem of how to reduct misjudgment by combining important sampling theorem and Neyman Pearson theorem to compromise false alarm, it also sums up experience values in different moving status on the base of MPEG code moving vehicles obstacle detection calculation.
Keywords:MPEG  False Alarm Probability  Important Sampling Theorem  Neyman-Pearscn Theorem
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