Memorias de investigación
Communications at congresses:
Efficient hybrid monocular-stereo approach to on-board, video-based traffic sign detection and tracking
Year:2012
Research Areas
  • Processing and signal analysis
Information
Abstract
In this paper we propose an innovative method for the automatic detection and tracking of road traffic signs using an onboard stereo camera. It involves a combination of monocular and stereo analysis strategies to increase the reliability of the detections such that it can boost the performance of any traffic sign recognition scheme. Firstly, an adaptive color and appearance based detection is applied at single camera level to generate a set of traffic sign hypotheses. In turn, stereo information allows for sparse 3D reconstruction of potential traffic signs through a SURF-based matching strategy. Namely, the plane that best fits the cloud of 3D points traced back from feature matches is estimated using a RANSAC based approach to improve robustness to outliers. Temporal consistency of the 3D information is ensured through a Kalman-based tracking stage. This also allows for the generation of a predicted 3D traffic sign model, which is in turn used to enhance the previously mentioned color-based detector through a feedback loop, thus improving detection accuracy. The proposed solution has been tested with real sequences under several illumination conditions and in both urban areas and highways, achieving very high detection rates in challenging environments, including rapid motion and significant perspective distortion
International
Si
Congress
IS&T/SPIE Int. Conf. on Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques
960
Place
San Francisco (CA), USA
Reviewers
Si
ISBN/ISSN
9780819489487
10.1117/12.908585
Start Date
23/01/2012
End Date
24/01/2012
From page
1
To page
15
Proceedings of SPIE Vol. 8301
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)