金凯, 何野. 视频客流量统计中阈值选取研究[J]. 微电子学与计算机, 2012, 29(8): 175-178,184.
引用本文: 金凯, 何野. 视频客流量统计中阈值选取研究[J]. 微电子学与计算机, 2012, 29(8): 175-178,184.
JIN Kai, HE Ye. Selection and Study of Threshold in Video Traffic Statistics[J]. Microelectronics & Computer, 2012, 29(8): 175-178,184.
Citation: JIN Kai, HE Ye. Selection and Study of Threshold in Video Traffic Statistics[J]. Microelectronics & Computer, 2012, 29(8): 175-178,184.

视频客流量统计中阈值选取研究

Selection and Study of Threshold in Video Traffic Statistics

  • 摘要: 针对两条虚拟检测线特征提取中人工调节阈值设置的缺陷,为了保证系统能长期在无人值守的状态下高精度稳定运行,提出了基于BP神经网络的阈值自适应技术以解决阈值选取的问题.利用BP网络工作信号正向传播、误差信号反向传播特性,自动修正各层连接权值,最终产生误差极小的输出.实验证明,该算法可以在实际应用环境中获得较为适合的阈值.

     

    Abstract: Virtual test line for two feature extraction threshold is set manually adjust the defect, in order to ensure long-term system in unattended mode high-precision and stable operation, proposed a BP neural network based adaptive threshold technology to solve the threshold selected issues.The use of forward propagation BP network operating signal, error signal back-propagation characteristics, levels of connection weights automatically correct, the resulting error is very small output.Experimental results show that the algorithm can be obtained in the actual application environment more appropriate threshold.

     

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