DocumentCode :
2294568
Title :
Comparative Implementation of Colour Analysis Based Methods for Face Detection Algorithm
Author :
Hore, Umesh W. ; Ingole, D.T.
Author_Institution :
Prof. Ram Meghe Inst. of Technol. & Res., Amravati, India
fYear :
2010
fDate :
19-21 Nov. 2010
Firstpage :
176
Lastpage :
179
Abstract :
Human Face detection plays important role in Video surveillance, face Recognition, Human computer Interface, Face search, Face data management etc. Face Region Usually forms inconsequential part of images. In this paper basically we are trying for face detection Using various color analysis base methods & compare that analysis on various parameters such as different background conditions, positions Scale & orientation in images from several photo collection & database. The proposed method better than other skin colour segmentation method such as Face detection in colour images using Adboost algorithm & High-speed Skin colour Segmentation for Real Time Human Tracking.
Keywords :
face recognition; image colour analysis; image segmentation; learning (artificial intelligence); Adaboost algorithm; colour analysis based methods; face data management; face detection algorithm; face recognition; face region; face search; human computer interface; realtime human tracking; skin colour segmentation method; video surveillance; Face detection; color centroids segmentation; color image thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
Conference_Location :
Goa
ISSN :
2157-0477
Print_ISBN :
978-1-4244-8481-2
Electronic_ISBN :
2157-0477
Type :
conf
DOI :
10.1109/ICETET.2010.106
Filename :
5698315
Link To Document :
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