An experimental study on pedestrian classification using local features

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings - IEEE International Symposium on Circuits and Systems, 2008, pp. 2741 - 2744
Issue Date:
2008-01
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This paper presents an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradien
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