DocumentCode :
256158
Title :
A survey of Haar-Like feature representation
Author :
Oualla, Mohamed ; Sadiq, Abdelalim ; Mbarki, Samir
Author_Institution :
Dept. of Inf., Ibn Tofail Univ., Kenitra, Morocco
fYear :
2014
fDate :
14-16 April 2014
Firstpage :
1101
Lastpage :
1106
Abstract :
Object detection has been one of the most studied topics in the computer vision literature. To detect an object in an image, the detector must have knowledge of the characteristics of the object. Various approaches have been utilized such as Haar-Like features, color information, texture, edge orientation, etc. While numerous methods have been proposed to extract information using Haar-like feature, we are unaware of any surveys on this particular topic. For this reason we wrote this paper for surveying the different researches on Haar-Like features.
Keywords :
Haar transforms; computer vision; feature extraction; image colour analysis; image representation; image texture; object detection; Haar-like feature representation; color information; computer vision; edge orientation; image texture; information extraction; object detection; Computer aided software engineering; Equations; Feature extraction; Image resolution; Asymetric Haar Features; Haar-Like Feature; Object detection; Rotated Features; Viola and Jones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
Type :
conf
DOI :
10.1109/ICMCS.2014.6911186
Filename :
6911186
Link To Document :
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