Multi-resolution model-based traffic sign detection and tracking

Marinas Mateos, Javier; Salgado Álvarez de Sotomayor, Luis y Camplani, Massimo (2012). Multi-resolution model-based traffic sign detection and tracking. En: "Real-Time Image and Video Processing 2012,", 18/04/2012 - 19/04/2012, Brussels, Belgium. pp. 1-13. https://doi.org/10.1117/12.924884.

Descripción

Título: Multi-resolution model-based traffic sign detection and tracking
Autor/es:
  • Marinas Mateos, Javier
  • Salgado Álvarez de Sotomayor, Luis
  • Camplani, Massimo
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Real-Time Image and Video Processing 2012,
Fechas del Evento: 18/04/2012 - 19/04/2012
Lugar del Evento: Brussels, Belgium
Título del Libro: Real-Time Image and Video Processing 2012
Fecha: 2012
Volumen: 8437
Materias:
Palabras Clave Informales: Multi-resolution, inhibition areas, Kalman filter, real-time processing.
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper we propose an innovative approach to tackle the problem of traffic sign detection using a computer vision algorithm and taking into account real-time operation constraints, trying to establish intelligent strategies to simplify as much as possible the algorithm complexity and to speed up the process. Firstly, a set of candidates is generated according to a color segmentation stage, followed by a region analysis strategy, where spatial characteristic of previously detected objects are taken into account. Finally, temporal coherence is introduced by means of a tracking scheme, performed using a Kalman filter for each potential candidate. Taking into consideration time constraints, efficiency is achieved two-fold: on the one side, a multi-resolution strategy is adopted for segmentation, where global operation will be applied only to low-resolution images, increasing the resolution to the maximum only when a potential road sign is being tracked. On the other side, we take advantage of the expected spacing between traffic signs. Namely, the tracking of objects of interest allows to generate inhibition areas, which are those ones where no new traffic signs are expected to appear due to the existence of a TS in the neighborhood. The proposed solution has been tested with real sequences in both urban areas and highways, and proved to achieve higher computational efficiency, especially as a result of the multi-resolution approach.

Más información

ID de Registro: 30491
Identificador DC: http://oa.upm.es/30491/
Identificador OAI: oai:oa.upm.es:30491
Identificador DOI: 10.1117/12.924884
Depositado por: Memoria Investigacion
Depositado el: 13 Sep 2014 08:06
Ultima Modificación: 22 Sep 2014 11:49
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