Observatorio de I+D+i UPM

Descripción
In this paper we propose a new method for the automatic detection and tracking of road traffic signs using an on-board single camera. This method aims to increase the reliability of the detections such that it can boost the performance of any traffic sign recognition scheme. The proposed approach exploits a combination of different features, such as color, appearance, and tracking information. This information is introduced into a recursive Bayesian decision framework, in which prior probabilities are dynamically adapted to tracking results. This decision scheme obtains a number of candidate regions in the image, according to their HS (Hue-Saturation). Finally, a Kalman filter with an adaptive noise tuning provides the required time and spatial coherence to the estimates. Results have shown that the proposed method achieves high detection rates in challenging scenarios, including illumination changes, rapid motion and significant perspective distortion
Internacional	Si
Nombre congreso	IEEE Conf. on Intelligent Transportation Systems, ITSC 2011
Tipo de participación	960
Lugar del congreso	Washington D. C.
Revisores	Si
ISBN o ISSN	2153-0009
DOI	10.1109/ITSC.2011.6082905
Fecha inicio congreso	05/10/2011
Fecha fin congreso	07/10/2012
Desde la página	1942
Hasta la página	1947
Título de las actas	Proc. ITSC'11

Esta actividad pertenece a memorias de investigación

• Autor: Javier Marinas Mateos (UPM)
• Autor: Luis Salgado Alvarez de Sotomayor (UPM)
• Autor: Jon Arróspide Laborda (UPM)
• Autor: Marcos Nieto (Vicomtech-IK4, Research Alliance)

• Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
• Departamento: Señales, Sistemas y Radiocomunicaciones