DocumentCode :
400139
Title :
Vehicle detection from three line scanner image
Author :
Puntavungkour, Sompoch ; Shibasaki, Roysuke
Author_Institution :
Center for Spatial Inf. Sci., Tokyo Univ., Japan
Volume :
1
fYear :
2003
fDate :
12-15 Oct. 2003
Firstpage :
785
Abstract :
Nowadays, traffic jam becomes severe rapidly. Therefore we presented the algorithms of vehicle monitoring from Three Line Scanner Imagery. In our contribution, the framework consists of three steps: vehicle detection, moving/ parking vehicle discrimination and vehicle parking identification. Now we focus on vehicle detection by Nadir-Single TLS images. We applied Explicit Model Approach. Firstly, segmented image is created by region and non-vehicle regions are removed We detect the cue of Vehicle from the raw image and generate vehicle candidate from vehicle likely region from segmented image by frame detector expansion technique secondly. At the last step, vehicle in the image have been verified detected by vehicle model matching. Finally, the promising results is shown and listed in this study.
Keywords :
helicopters; image segmentation; object detection; road vehicles; transportation; Nadir-Single TLS images; TLS imagery; frame detector expansion technique; image segmentation; moving vehicle discrimination; parking vehicle discrimination; parking vehicle identification; three line scanner imagery; vehicle detection; vehicle model matching; vehicle monitoring system; Cities and towns; High-resolution imaging; Image segmentation; Intelligent sensors; Intelligent transportation systems; Monitoring; Robustness; Traffic control; Vehicle detection; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
Type :
conf
DOI :
10.1109/ITSC.2003.1252057
Filename :
1252057
Link To Document :
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