@inproceedings{7aa920bf931c4670809238da4f701c03,
title = "The treelike assembly classifier for pedestrian detection",
abstract = "Until now, classification is a primary technology in Pedestrian Detection. However, most existing single-classifiers and cascaded classifiers can hardly satisfy practical needs (e.g. false negative rate, false positive rate and detection speed). In this paper, we proposed an assembly classifier which was specifically designed for pedestrian detection in order to get higher detection rate and lower false positive rate at high speed. The assembly classifier is trained to select out the best single-classifiers, all of which will be arranged in a proper structure; finally, a treelike classifier is obtained. The experimental results have validated that the proposed assembly classifier generates better results than most of the existing single-classifiers and cascaded classifiers.",
author = "Wei, \{C. X.\} and Cao, \{X. B.\} and Xu, \{Y. W.\} and Hong Qiao and Wang, \{Fei Yue\}",
year = "2007",
doi = "10.1007/978-3-540-71549-8\_21",
language = "英语",
isbn = "9783540715481",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "232--237",
booktitle = "Intelligence and Security Informatics - Pacific Asia Workshop, PAISI 2007, Proceedings",
address = "德国",
note = "2007 Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2007 ; Conference date: 11-04-2007 Through 12-04-2007",
}