Detection and classification of running vehicles based on acoustic signatures
US8164484B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 3, 2008 |
| Grant date | Apr 24, 2012 |
| Priority date | — |
| Expiry date | May 14, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/30
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.