@inproceedings{ef8db93b09d24b72989bc5adb6f70419,
title = "Pedestrian detection with an improved Adaboost",
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.",
keywords = "Adaboost, Confidence Score, Haar like basic features, Nearest Neighbour, Weak Classifiers",
author = "Tetik, {Yusuf Engin} and Bulent Bolat",
year = "2013",
doi = "10.1109/INISTA.2013.6577626",
language = "English",
isbn = "9781479906611",
series = "2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013",
booktitle = "2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013",
note = "2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 ; Conference date: 19-06-2013 Through 21-06-2013",
}