Siren tracking system with emergency support using self-organizing map

Hoai Thang Tan; Phooi Yee Lau

doi:10.1117/12.2624455

30 April 2022 Siren tracking system with emergency support using self-organizing map

Hoai Thang Tan, Phooi Yee Lau

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121771Y (2022) https://doi.org/10.1117/12.2624455
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

With the advance of science and technology, there are more and more vehicles on the road, emergency vehicles such as ambulances are having a hard time bypassing busy lanes. This paper proposed an ambulance siren tracking system based on SOM algorithm. By using self-organizing map (SOM) techniques, the location and the direction of the ambulance siren can be tracked. Later, the support vector machine technique was used to classify the sound of ambulance sirens. In order to improve classification of ambulance sirens, pre-processing steps such as bandpass filter are adopted, namely, the 600 Hz as the lower and 1600 Hz as the upper cutoff frequencies. For this system, we developed a mobile application, named Siren Tracking system with Emergency Support (STES), to allow users to track ambulance sirens, for drivers on the road. In order to examine the system performance, we subject the system on some real-time scenarios, using St John ambulance sirens. Based on the experimental results, the system is shown to be able to reliably localize the location of the ambulance car.

Citation Download Citation

Hoai Thang Tan and Phooi Yee Lau "Siren tracking system with emergency support using self-organizing map", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121771Y (30 April 2022); https://doi.org/10.1117/12.2624455

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