Real time vehicle detection and tracking on multiple lanes (CROSBI ID 612890)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kovačić, Kristian ; Ivanjko, Edouard ; Gold, Hrvoje
engleski
Real time vehicle detection and tracking on multiple lanes
Development of computing power and cheap video cameras enabled today’s traffic management systems to include more cameras and computer vision applications for transportation system monitoring and control. Combined with image processing algorithms cameras are used as sensors to measure road traffic parameters like flow, origindestination matrices, classify vehicles, etc. In this paper development of a system capable to measure traffic flow and estimate vehicle trajectories on multiple lanes using only one static camera is described. Vehicles are detected as moving objects using foreground and background image segmentation. Adjacent pixels in the moving objects image are grouped together and a weight factor based on cluster area, cluster overlapping area and distance between multiple clusters is computed to enable multiple moving object tracking. To ensure real time capabilities, image processing algorithm computation distribution between CPU and GPU is applied. Described system is tested using real traffic video footage obtained from Croatian highways.
Multiple object detection ; intelligent transportation system (ITS) ; vehicle detection ; vehicle tracking ; algorithm parallelization ; trajectory estimation
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Podaci o prilogu
67-71.
2014.
objavljeno
Podaci o matičnoj publikaciji
Poster Papers Proceedings of 22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG2014
Skala, Vaclav
Plzeň: Vaclav Skala – Union Agency
978-80-86943-72-5
Podaci o skupu
22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG2014
poster
02.06.2014-05.06.2014
Plzeň, Češka Republika
Povezanost rada
Elektrotehnika, Računarstvo, Tehnologija prometa i transport