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