Title :
Moving object tracking in driving environment
Author :
Lee, Jae-Yeong ; Yu, Wonpil
Author_Institution :
Electron. & Telecommun. Res. Inst., Daejeon, South Korea
Abstract :
This paper present a visual tracking system developed for the tracking of pedestrians and vehicles in driving environment. The presented system applies a partition-based mean-shift for the tracking of pedestrians and a HSV template matcher for vehicles. The experiment results on real video sequences confirm the validity of our method.
Keywords :
image matching; image sequences; pedestrians; target tracking; traffic engineering computing; vehicles; video signal processing; HSV template matcher; driving environment; moving object tracking; partition-based mean-shift; pedestrian tracking; real video sequences; vehicle tracking; visual tracking system; Accuracy; Computational modeling; Histograms; Image color analysis; Target tracking; Vehicles; Visualization; Mean-Shift; Pedestrian; Tracking; Vehicle;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
DOI :
10.1109/URAI.2011.6145948
