A Vision-Based Vehicle Identification System

Authors:
Chung-Lin Huang;Wen-Chieh Liao
Affiliations:
National Tsing Hua University, Hsin Chu, Taiwan;National Tsing Hua University, Hsin Chu, Taiwan
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Year:
2004

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Abstract

This paper 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.