DocumentCode
3243497
Title
Moving object tracking in driving environment
Author
Lee, Jae-Yeong ; Yu, Wonpil
Author_Institution
Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear
2011
fDate
23-26 Nov. 2011
Firstpage
139
Lastpage
141
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location
Incheon
Print_ISBN
978-1-4577-0722-3
Type
conf
DOI
10.1109/URAI.2011.6145948
Filename
6145948
Link To Document