Current page: Information->Indexed and Annotated Bibliography
T. S. Lee and E. M. Lee and H. T. Park and Y. K. Kwag and S. S. Lim and J. H. Baek and B. W. Hwang
ABSTRACT
In this paper, an automatic traffic flow measuring system and a real-time image processing algorithm have been developed. The picture of moving vehicles taken by an industrial television (ITV) camera are digitized into sample points in odd ITV frames and the points are processed in even ITV frames by a personal computer. We detect the presence of vehicles by comparing the brightness of the sample points of vehicle with that of the road. After eliminating noises contained in the digitized sample points by appropriate smoothing techniques, we obtain a contour of each vehicle. Using the contour, the number of passing vehicles is effectively measured by counting the number of sample points of each vehicle. Also the type of a vehicle is easily figured out by counting the number of sample points corresponding to the width of vehicle's contour. The performance of the proposed algorithm is demonstrated by actual implementation. From the experimental results $ 1\thicksim 2$ measurement error was observed. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Implementation of Traffic Flow Measuring Algorithm Using Real-Time Dynamic Image Processing Site generated on Friday, 06 January 2006