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.
DSP Based Acoustic Vehicle Classification for Multi Sensor Real Time Traffic Surveillance
2009
5 pages
Report
No indication
English
Real-Time Classification of Freeway Traffic Congestion Levels Based on Surveillance Video
Springer Verlag | 2025
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