A vision-based vehicle identification system

Author

Huang, Chung-Lin ; Liao, Wen-Chieh

Author_Institution

Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

4

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

364

Abstract

This work presents a vision-based vehicle identification system which consists of object extraction, object tracking, occlusion detection and segmentation, and vehicle classification. Since the vehicles on the freeway may occlude each other, their trajectories may merge or split. To separate the occluded objects, we develop three processed: occlusion detection, motion vector calibration, and motion field clustering. Finally, the segmented objects are classified into seven different categorized vehicles.

Keywords

computer graphics; computer vision; feature extraction; image classification; image motion analysis; image segmentation; object detection; pattern clustering; traffic engineering computing; motion field clustering; motion vector calibration; object extraction; object tracking; occlusion detection; occlusion segmentation; vehicle classification; vision-based vehicle identification system; Charge-coupled image sensors; Detectors; Electronic mail; Filtering; Image segmentation; Intelligent sensors; Object detection; Road vehicles; Traffic control; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1333778

Filename

1333778