DocumentCode
549994
Title
Ensemble of classifiers for pedestrian recognition
Author
Gáspár-Papanek, Csaba ; Kardkovács, Zsolt T.
Author_Institution
Dept. of Telecommun. & Media Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear
2011
fDate
7-9 July 2011
Firstpage
1
Lastpage
4
Abstract
Pedestrian recognition is one of the most important aspects of intelligent vehicle systems of the future. The challenge of this task lies in the difficulty of defining the pedestrian in terms of image processing. The article describes a data mining based decision system that solves a subtask of this complex problem: our solution is able to predict whether there is a pedestrian in the image from DaimlerChrysler Automative Dataset or not.
Keywords
data mining; image classification; object recognition; DaimlerChrysler Automative Dataset; classifier ensemble; data mining; decision system; image processing; intelligent vehicle system; pedestrian recognition; Accuracy; Biological neural networks; Data mining; Data models; Image edge detection; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Infocommunications (CogInfoCom), 2011 2nd International Conference on
Conference_Location
Budapest
Print_ISBN
978-1-4577-1806-9
Electronic_ISBN
978-963-8111-78-4
Type
conf
Filename
5999462
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