原文传递
Vehicle Classification Using a Biological Model of Hearing
| 题名： | Vehicle Classification Using a Biological Model of Hearing |
| 作者： | Shamma, S. A.;Depireux, D. A.; |
| 关键词： | TRACKING, ACOUSTICS, VEHICLES, MICROPHONES, SEISMOMETERS, DATA BASES, MODELS, BATTLEFIELDS, ARRAYS, PASSIVE SYSTEMS, TARGETS, SPECTRA, SIGNALS, CLASSIFICATION, VECTOR ANALYSIS, QUANTIZATION, PHYSIOLOGY, DECOMPOSITION, HEARING, PSYCHOPHYSICS, ACOUSTIC DETECTORS, COCHLEA. |
| 摘要： | The Army is interested in using acoustic sensors in the battlefield to perform vehicle tracking and classification using passive arrays of acoustic microphones and seismic sensors. Here, we present a prototype vehicle acoustic signal classification. To analyze acoustic features of the vehicle signal, we adopt biologically motivated feature extraction models. Physiological and psychophysical research have shown that primary auditory cortex performs to the first order a multi-scale decomposition of the incoming auditory spectra, on axes of log-frequency and time. This decomposition, based on the spectra emerging from a realistic model of the cochlea, representation for the classifier. |
| 总页数： | 8 |
| 报告类型： | 科技报告 |
相关文献
- Ground Vehicle Acoustic Signal Processing Based on Biological Hearing Models
- Vehicle Classification Model for Loop Detectors Using Neural Networks.
- Ultrasonics as a Method of Bird Control.
- Ground Vehicle Classification Using Hidden Markov Models
- Exploring Image-Based Classification to Detect Vehicle Make and Model. Final Report.
- Vehicle Classification Using Mobile Sensors.
检索历史
应用推荐
