Title
Subsign Detection With Region-Growing From Contrasted Seeds
Abstract
Speed limit determination systems for cars based on vision are more and more developed. Roadsign detection is nowadays a well managed problem. However, in some situations this information is not sufficient to know the speed limitation. Restrictions are sometimes applicable and specified by subsigns. These small rectangles often provide essential information about the applicability scope (vehicle type, condition, lane, etc.) of speed limits. We present an approach of subsign localization based on region growing with an initial step of seed selection using morphological reconstruction. A comparison is also performed with three other techniques based on edge, color and graph on two databases gathering French and German subsigns. The obtained subsign correct detection is above 65%.
Year
DOI
Venue
2012
10.1109/ITSC.2012.6338826
2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
Keywords
Field
DocType
regional planning,image reconstruction,databases,vision,graph theory
Graph theory,Iterative reconstruction,Computer vision,Object detection,Graph,Simulation,Region growing,Artificial intelligence,Engineering,Speed limit
Conference
ISSN
Citations 
PageRank 
2153-0009
2
0.43
References 
Authors
6
3
Name
Order
Citations
PageRank
Anne-Sophie Puthon151.42
Fabien Moutarde25415.26
Fawzi Nashashibi348149.71