Skip to Main content Skip to Navigation
New interface
Conference papers

Using Geometric Model Guided Active Contour Method for Traffic Sign Detection

Long Quan 1 Roger Mohr 2 
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : The subject of this paper is on drtection, location of traffic signs. The way we are operating is by first detecting salient features, then tracking them, and finally identifying then1 in a snapshot view at the right resolution. A mixed model guided active detection is chosen to compensate for imperfect low level segmentation. The detection is also optimized based on a active contour model. The first experimental results are presented and the future working directions on the topic are also discussed.
Document type :
Conference papers
Complete list of metadata
Contributor : THOTH Team Connect in order to contact the contributor
Submitted on : Monday, December 20, 2010 - 8:46:18 AM
Last modification on : Friday, February 4, 2022 - 3:22:20 AM


  • HAL Id : inria-00548462, version 1



Long Quan, Roger Mohr. Using Geometric Model Guided Active Contour Method for Traffic Sign Detection. IAPR Workshop on Machine Vision Applications (MVA '90), Nov 1990, Tokyo, Japan. pp.417--420. ⟨inria-00548462⟩



Record views