Traffic sign detection and tracking using robust 3D analysis

Marinas Mateos, Javier; Salgado Álvarez de Sotomayor, Luis; Arróspide Laborda, Jon y Camplani, Massimo (2012). Traffic sign detection and tracking using robust 3D analysis. En: "Third International Conference on Emerging Security Technologies (EST 2012)", 05/09/2012 - 07/09/2012, Lisbon, Portugal. pp. 78-81. https://doi.org/10.1109/EST.2012.17.

Descripción

Título: Traffic sign detection and tracking using robust 3D analysis
Autor/es:
  • Marinas Mateos, Javier
  • Salgado Álvarez de Sotomayor, Luis
  • Arróspide Laborda, Jon
  • Camplani, Massimo
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Third International Conference on Emerging Security Technologies (EST 2012)
Fechas del Evento: 05/09/2012 - 07/09/2012
Lugar del Evento: Lisbon, Portugal
Título del Libro: Third International Conference on Emerging Security Technologies (EST 2012)
Fecha: 2012
Materias:
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 present an innovative technique to tackle the problem of automatic road sign detection and tracking using an on-board stereo camera. It involves a continuous 3D analysis of the road sign during the whole tracking process. Firstly, a color and appearance based model is applied to generate road sign candidates in both stereo images. A sparse disparity map between the left and right images is then created for each candidate by using contour-based and SURF-based matching in the far and short range, respectively. Once the map has been computed, the correspondences are back-projected to generate a cloud of 3D points, and the best-fit plane is computed through RANSAC, ensuring robustness to outliers. Temporal consistency is enforced by means of a Kalman filter, which exploits the intrinsic smoothness of the 3D camera motion in traffic environments. Additionally, the estimation of the plane allows to correct deformations due to perspective, thus easing further sign classification.

Más información

ID de Registro: 30496
Identificador DC: http://oa.upm.es/30496/
Identificador OAI: oai:oa.upm.es:30496
Identificador DOI: 10.1109/EST.2012.17
Depositado por: Memoria Investigacion
Depositado el: 10 Ago 2014 09:55
Ultima Modificación: 22 Abr 2016 00:46
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