Title :
Analysis of road image sequences for vehicle counting
Author :
Soh, Jung ; Chun, Byurig Tae ; Wang, Min
Author_Institution :
Artificial Intelligence Div., Syst. Eng. Res. Inst., Taejon, South Korea
Abstract :
This paper describes a computer vision system to count moving vehicles on roads. The system operates on a road image sequence captured during a time period and computes the total number of vehicles which passed the road during the period. Vehicle counting is accomplished by tracking vehicle movements within a tracking zone. The system consists of four image processing modules: (i) road structure extraction, (ii) vehicle detection, (iii) vehicle speed measurement, and (iv) vehicle movement tracking. The system limits the search area for vehicle detection using the road structure information and adjusts the vehicle movement tracking zone based on vehicle speeds. The primary feature of the system is efficient use of acquired knowledge about the road structure and vehicle speeds. The system was tested on a sequence of images of a road that has a medium-level traffic volume
Keywords :
computer vision; edge detection; feature extraction; image sequences; road vehicles; tracking; velocity measurement; computer vision system; image processing modules; moving vehicles; road image sequences analysis; road structure extraction; tracking zone; vehicle counting; vehicle detection; vehicle movement tracking; vehicle speed measurement; Computer vision; Data mining; Image analysis; Image processing; Image sequence analysis; Image sequences; Road vehicles; Tracking; Vehicle detection; Velocity measurement;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537842