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1. 发明授权

US08164484B2 Detection and classification of running vehicles based on acoustic signatures 有权
标题翻译：基于声学特征的运行车辆检测与分类
公开(公告)号：US08164484B2
公开(公告)日：2012-04-24
申请号：US12245564
申请日：2008-10-03
申请人： Theodore W. Berger , Alircza Dibazar , Bing Lu
发明人： Theodore W. Berger , Alircza Dibazar , Bing Lu
IPC分类号： G09G1/04
CPC分类号： G08G1/04 , G01H3/08 , G08G1/015 , G10L25/30 , G10L25/51
摘要： A method and apparatus for identifying running vehicles in an area to be monitored using acoustic signature recognition. The apparatus includes an input sensor for capturing an acoustic waveform produced by a vehicle source, and a processing system. The waveform is digitized and divided into frames. Each frame is filtered into a plurality of gammatone filtered signals. At least one spectral feature vector is computed for each frame. The vectors are integrated across a plurality of frames to create a spectro-temporal representation of the vehicle waveform. In a training mode, values from the spectro-temporal representation are used as inputs to a Nonlinear Hebbian learning function to extract acoustic signatures and synaptic weights. In an active mode, the synaptic weights and acoustic signatures are used as patterns in a supervised associative network to identify whether a vehicle is present in the area to be monitored. In response to a vehicle being present, the class of vehicle is identified. Results may be provided to a central computer.
摘要翻译：一种用于使用声学签名识别识别待监视区域中的行驶车辆的方法和装置。该装置包括用于捕获由车辆源产生的声波形的输入传感器和处理系统。波形被数字化并分成帧。每个帧被过滤成多个经过Gammatone滤波的信号。为每个帧计算至少一个光谱特征向量。矢量被集成在多个帧之间以产生车辆波形的频谱表示。在训练模式中，来自频谱表示的值被用作非线性Hebbian学习函数的输入，以提取声学签名和突触权重。在主动模式中，突触权重和声学特征被用作监督关联网络中的模式，以识别车辆是否存在于要监视的区域中。响应于存在的车辆，识别出车辆等级。可以向中央计算机提供结果。

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