DocumentCode :
2310527
Title :
Analysis and Detection of Human Faces by Using Minimum Distance Classifier for Surveillance
Author :
Bhaumik, Gopa ; Mallick, Tanwi ; Chowdhury, Koyel Sinha ; Sanyal, Gautam
Author_Institution :
Dept. of Comput. Sci. & Eng, Nat. Inst. of Technol., Durgapur, India
fYear :
2010
fDate :
12-13 March 2010
Firstpage :
265
Lastpage :
267
Abstract :
Visual Surveillance in dynamic scenes is one of the most active research areas. In this paper an algorithm has been proposed to detect human behaviours for visual surveillance. This method gives an efficient face recognition technique in dynamic scenario using Principal Component Analysis and Minimum distance classifier.
Keywords :
face recognition; image classification; principal component analysis; video surveillance; face recognition technique; human behaviour detection; human face detection; minimum distance classifier; principal component analysis; visual surveillance; Computer science; Computer vision; Face detection; Face recognition; Humans; Image segmentation; Image sequences; Layout; Principal component analysis; Surveillance; Face Detection; Minimum distance classifier; Principle component Analysis (PCA); Recognition; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Trends in Information, Telecommunication and Computing (ITC), 2010 International Conference on
Conference_Location :
Kochi, Kerala
Print_ISBN :
978-1-4244-5956-8
Type :
conf
DOI :
10.1109/ITC.2010.66
Filename :
5460552
Link To Document :
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