DocumentCode
3306512
Title
Research of Image Detection Based on Improved AdaBoost Algorithm
Author
Wu, Peng ; Qu, Shenming
fYear
2010
fDate
24-25 April 2010
Firstpage
113
Lastpage
115
Abstract
In order to prevent more effectively the occurrence of the distortion of target weights’ distribution and further reduce system errors, a comprehensive improvement has been conducted on the algorithm’s weight updating and weight normalization to avoid the defects of the traditional AdaBoost image detection algorithm. It is proved that the improved algorithm is more effective.
Keywords
Boosting; Computer errors; Computer interfaces; Computer vision; Degradation; Detection algorithms; Distributed computing; Face detection; Machine vision; Man machine systems; AdaBoost algorithm; weight normalization; weight updating;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location
Kaifeng, China
Print_ISBN
978-1-4244-6595-8
Electronic_ISBN
978-1-4244-6596-5
Type
conf
DOI
10.1109/MVHI.2010.104
Filename
5532663
Link To Document