Browse > Article

Queue Detection using Fuzzy-Based Neural Network Model  

KIM, Daehyon (Transportation & Logistics System Engineering, Yosu National University)
Publication Information
Journal of Korean Society of Transportation / v.21, no.2, 2003 , pp. 63-70 More about this Journal
Abstract
Real-time information on vehicle queue at intersections is essential for optimal traffic signal control, which is substantial part of Intelligent Transport Systems (ITS). Computer vision is also potentially an important element in the foundation of integrated traffic surveillance and control systems. The objective of this research is to propose a method for detecting an exact queue lengths at signalized intersections using image processing techniques and a neural network model Fuzzy ARTMAP, which is a supervised and self-organizing system and claimed to be more powerful than many expert systems, genetic algorithms. and other neural network models like Backpropagation, is used for recognizing different patterns that come from complicated real scenes of a car park. The experiments have been done with the traffic scene images at intersections and the results show that the method proposed in the paper could be efficient for the noise, shadow, partial occlusion and perspective problems which are inevitable in the real world images.
Keywords
Queue Detection; Intelligent Transport Systems(ITS); Neural Networks; Fuzzy ARTMAP; Image Processing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. /
[ Carpenter,G.A.;Grossberg,S.;Markuzon,N.;Reynolds,J.H.;Rosen,D.B. ] / IEEE Transactions on Neural Networks   DOI   ScienceOn
2 Integrating symbolic and neural processing in a self-organizing architecture for pattern recognition and prediction /
[ Carpenter,G.A.;Grossberg,S.;V.Honavar(Ed.);L.Uhr(Ed.) ] / Artificial Intellignece and Neural Networks: Steps toward Principled Integration
3 Incident Detection in Urban roads using Computer Image Processing /
[ Hoose,N.;Vicencio,M.A.;Zhang,X. ] / Transport Engineering and Control
4 A massively parallel Oarchitecture for a selforganizing neural pattern recognition machine /
[ Carpenter,G.A.;Grossberg,S. ] / Computer Vision, Graphics, and Image Processing   DOI   ScienceOn
5 Use of the Hough Transform to detect lines and curves in pictures /
[ Duda,R.O.;Hart,P.E. ] / Computing Machine Intelligence
6 /
[ Hoose,N. ] / Computer Image Processing in Traffic Engineering
7 /
[ Bezdek,J.C.;Pal,S.K ] / Fuzzy Models for Pattern Recognition
8 Fuzzy ARTMAP neural network speech recognition system based on formant ratios /
[ Young,C.D.P.A. ] / Masters thesis, Royal Military College fo Canada
9 Applications of image processing techniques to data collection and monitoring in transport /
[ Rourke,A. ] / Ph. D. Thesis, University of Newcastle upon Tyne