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2004
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A Vision-Based Vehicle Identification System

11 years 4 months ago
A Vision-Based Vehicle Identification System
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.
Chung-Lin Huang, Wen-Chieh Liao
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Chung-Lin Huang, Wen-Chieh Liao
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