Memorias de investigación
Communications at congresses:
Traffic sign detection and tracking using robust 3D Analysis
Year:2012
Research Areas
  • Engineering,
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
Int. Conf. on Emerging Security Technologies
960
Place
Lisbon, Portugal
Reviewers
Si
ISBN/ISSN
978-0-7695-4791-6
10.1109/EST.2012.17
Start Date
05/09/2012
End Date
07/09/2012
From page
78
To page
81
Proc. of Int. Conf. on Emerging Security Technologies, EST 2012
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)