International Journal of Computer Vision
Making large-scale support vector machine learning practical
Advances in kernel methods
Pattern Recognition Letters
Comparison of Five Color Models in Skin Pixel Classification
RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Color Recognition in Outdoor Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Expert Systems with Applications: An International Journal
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Given outdoor vehicle images, we try to find an acceptable method chain that maximizes the vehicle color recognition success. Our aim is to determine the color of the vehicle located in a colored image and to make a decision among the chosen seven color classes. At this study, performances of different feature sets obtained by various color spaces and different classification methods are taken to account in order to improve the outdoor vehicle color recognition. Also, different Region of Interest (ROI) and feature vector construction methods are developed for gain better performance. We examined two ROI (smooth hood peace and semi front vehicle), three classification methods (K-Nearest Neighbors, Artificial Neural Networks, and Support Vector Machines), and all possible combinations of sixteen color space components as different feature sets. We obtained 83.50% success in our experiments. As a result, the best performer combination of the classifier, the choice of the ROI, and the feature vector are demonstrated.