Car/Non-Car Classification in an Informative Sample Subspace

Authors:
Jianzhong Fang;Guoping Qiu
Affiliations:
University of Nottingham;University of Nottingham
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Abstract

In this paper, we present a method for data classification with application to car/non-car objects. We first developed a sample based car/non-car maximal mutual information low dimensional subspace. We then trained a support vector machine (SVM) in this subspace for the detection of cars. Using publicly available standard training and testing data sets, we demonstrated that our car detector gave very competitive performances.