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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2310527