DocumentCode :
1598052
Title :
A Novel Feature for Object Detection
Author :
Zhu, Fuguo ; Yang, Bo ; Li, Xiaomei ; Men, Aidong
Author_Institution :
Multimedia Technol. Center, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
1
fYear :
2010
Firstpage :
556
Lastpage :
560
Abstract :
This paper proposed a new 2-dimension-code-like feature based on the Haar-like feature proposed by Viola et al. The feature can be calculated in different scales rapidly once the integral image is calculated and this characteristic is inherited from the Haar-like feature. Instead of reducing the dimensions after calculating redundant features, we calculate feature vectors with fixed dimensions for each sub-window, so the training speed is greatly improved. To test our feature, we build a face detector based on AdaBoost. The results of the face detector show that this feature can take full advantage of the image spatial location information and also insensitive to illumination changes.
Keywords :
object detection; 2-dimension-code-like feature; AdaBoost; Haar-like feature; face detector; image spatial location information; object detection; Computational modeling; Computer simulation; Computer vision; Data mining; Detectors; Face detection; Feature extraction; Lighting; Object detection; Telecommunication computing; 2-Dimension-code-like feature; AdaBoost; object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
Type :
conf
DOI :
10.1109/ICCMS.2010.71
Filename :
5421330
Link To Document :
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