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DSP Based Acoustic Vehicle Classification for Multi Sensor Real Time Traffic Surveillance
| 题名： | DSP Based Acoustic Vehicle Classification for Multi Sensor Real Time Traffic Surveillance |
| 作者： | Klausner, A.; Erb, S. |
| 关键词： | Acoustic vehicle classification##Traffic surveillance## |
| 摘要： | Vehicles may be recognized from the sound they emitwhen driving along a road. Characteristic acoustic fingerprints and audio features can be used to increase the robustnessof existing video based vehicle tracking and classificationalgorithms. Using this information in a multisensorsurveillance system helps to improve various parameterssuch as recognition rates, detection times and robustness.We propose a two-fold approach, where vehicle detectionand classification are handled separately. We demonstratethe feasibility of the proposed method using outdooraudio sequences of traffic situations. |
| 总页数： | 5 |
| 报告类型： | 科技报告 |
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