Title: Real time vehicle detection and tracking on multiple lanes
Authors: Kovačić, Kristian
Ivanjko, Edouard
Gold, Hrvoje
Citation: WSCG 2014: Poster Papers Proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 67-72.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf
ISBN: 978-80-86943-72-5
Keywords: detekce objektů;inteligentní dopravní systémy;detekce vozidla;trasování vozidla;paralelizace algoritmu;odhad trajektorie
Keywords in different language: object detection;intelligent transportation systems;vehicle detection;vehicle tracking;algorithm parallelization;trajectory estimation
Abstract: 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.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2014: Poster Papers Proceedings

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