Real-Time On-Road Vehicle Detection Combining Specific Shadow Segmentation and SVM Classification

This paper presents a vision-based real-time vehicle detection approach. Combining segmenting the specific shadow area underneath the vehicle and using SVM-based classifier, the proposed approach is accurate and efficient for intelligent vehicle. Experiment results with test dataset from real traffi...

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Bibliographic Details
Published in2011 Second International Conference on Digital Manufacturing and Automation pp. 885 - 888
Main Authors Xin Liu, Bin Dai, Hangen He
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
Feature extraction
Image edge detection
IntelLigent Vehicle
Intelligent vehicles
Real time systems
SVM
Traffic control
Vehicle detection
Vehicle Shadow Segmentation
Vehicles
Vision
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ISBN1457707551
9781457707551
DOI10.1109/ICDMA.2011.219

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Summary:This paper presents a vision-based real-time vehicle detection approach. Combining segmenting the specific shadow area underneath the vehicle and using SVM-based classifier, the proposed approach is accurate and efficient for intelligent vehicle. Experiment results with test dataset from real traffic scenes on freeways and urban roads are presented to illustrate the performance of this approach.
ISBN:1457707551
9781457707551
DOI:10.1109/ICDMA.2011.219