Name
Title | ||
|---|---|---|
Real-Time On-Road Vehicle Detection Combining Specific Shadow Segmentation and SVM Classification |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICDMA.2011.219 | ICDMA |
Keywords | Field | DocType |
specific shadow segmentation,real traffic scene,svm-based classifier,intelligent vehicle,real-time on-road vehicle detection,specific shadow area,vision-based real-time vehicle detection,svm classification,experiment result,urban road,test dataset,edge detection,image classification,image segmentation,svm,vision,feature extraction,real time,support vector machines,real time systems | Object detection,Computer vision,Shadow,Market segmentation,Support vector machine,Image segmentation,Feature extraction,Artificial intelligence,Engineering,Classifier (linguistics),Contextual image classification | Conference |
Citations | PageRank | References |
5 | 0.48 | 4 |
Authors | ||
3 | ||