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Automatic recognition of accessible pedestrian signals

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Automatic recognition of accessible pedestrian signals.pdf (2.871Mb)
Date
2018
Author
Ruiz Blais, Sebastián
Camacho Lozano, Arturo
Fonseca Solís, Juan Manuel
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Abstract
Accessible pedestrian signals (APS) enhance accessibility in streets around the world. Recent attempts to extend the use of APS to people with visual and audible impairments have emerged from the area of audio signal processing. Even though few authors have studied the detection of APS by sound, comprehensive literature in Biology has been published to detect other simple sounds like birds and frogs calls. Since these calls exhibit the same periodic and modulated nature as APS, many of these approaches can be adapted for this purpose. We present an algorithm that follows this approach. The algorithm was evaluated using a collection of 79 recordings gathered from streets in San Jose, Costa Rica, where an APS system will be implemented. Three types of sounds were available: low-pitch chirps, high-pitch chirps and cuckoo-like sounds. The results showed 91% precision, 80% recall, 83% F-measure, and 90% specificity.
URI
https://hdl.handle.net/10669/79014
External link to the item
10.1121/2.0000675
https://asa.scitation.org/doi/10.1121/2.0000675
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  • Computación e informática [218]



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  • Repositorios universitarios

  • Repositorio del SIBDI-UCR
  • Biblioteca Digital del CIICLA
  • Repositorio Documental Rafael Obregón Loría (CIHAC)
  • Biblioteca Digital Carlos Melendez (CIHAC)
  • Repositorio de Fotografías
  • Colección de videos de UPA-VAS
  • Sitios recomendados

  • Buscador regional de LA Referencia
  • Buscador del Open ROAR
  • Scientific Electronic Library Online (SciELO)
  • Directory of Open Access Journals (DOAJ)
  • Redalyc
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Repositorio Institucional de la Universidad de Costa Rica. Algunos derechos reservados. Este repositorio funciona con DSpace.