Title :
Road Sign Tracking with a Predictive Filter Solution
Author :
Lafuente-Arroyo, S. ; Maldonado-Bascón, S. ; Gil-Jiménez, P. ; Gómez-Moreno, H. ; López-Ferreras, F.
Author_Institution :
Dipt. de Teoria de la senal y Comunicaciones, Univ. de Alcala, Madrid
Abstract :
This paper deals with the problem of estimating traffic sign position in successive frames for automatic detection systems, whose main applications involve road sign maintenance and driver-assistance systems. For road sign detection systems, the problem is traditionally handled using the information in a single-frame way. In this paper we describe the application of adaptive filters for tracking road signs. Results show that using a predictive filter we get a better performance than the obtained at the output of the recognition system, processing each frame independently. False alarms are eliminated, in most cases, because they are temporally incoherent
Keywords :
adaptive filters; image recognition; object detection; adaptive filters; automatic detection systems; driver-assistance systems; frame processing; predictive filter solution; recognition system; road sign detection systems; road sign maintenance; road sign tracking; traffic sign position estimation; Adaptive filters; Information analysis; Layout; Object detection; Roads; Safety; Shape; Support vector machines; Vehicle detection; Video sequences;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347453