Pedestrian Detection with an Improved Adaboost

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Tetik Y. E., BOLAT B.

IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), Bulgaria, 19 - 21 June 2013, (Full Text)

• Publication Type: Conference Paper / Full Text
• Doi Number: 10.1109/inista.2013.6577626
• Country: Bulgaria
• Yıldız Technical University Affiliated: Yes

Abstract

This paper focuses on improving the performance of Adaboost (Adaptive Boosting) by using weak classifiers that make classification with a confidence score. Single thresholds and nearest neighbor classifiers are used as base classifiers. The proposed method is applied to the problem of pedestrian detection in still images. Haar-like basic features are used to construct weak classifiers.