Development Of Famous People Recognition System From Video Sequences

Video based face recognition has become an important task due to the huge demand on the surveillance system application such as monitoring activities of closed circuit TV (CCTV). There are some cases due to the security reason, an identity of interest (IoI) need to be searched manually from all the...

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Main Author:	Yii , Wen Wen
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.usm.my/41328/1/YII_WEN_WEN_24_Pages.pdf
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id	my-usm-ep.41328
record_format	uketd_dc
spelling	my-usm-ep.413282018-08-14T08:53:15Z Development Of Famous People Recognition System From Video Sequences 2015 Yii , Wen Wen TK7800-8360 Electronics Video based face recognition has become an important task due to the huge demand on the surveillance system application such as monitoring activities of closed circuit TV (CCTV). There are some cases due to the security reason, an identity of interest (IoI) need to be searched manually from all the captured video through CCTV devices. This task is tiring, tedious and wasting time by looking through video one by one. Therefore, the initial work of developing a basic system for video based face recognition on searching selected identity of interest automatically is proposed in this research. In this research, combination of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are used as feature extractor. Three feature classifiers used in this system are Euclidean Distance, Manhattan Distance, and Learning Vector Quantization Neural Network (LVQNET). Comparison between the performance of three classifiers have been conducted on the overall recognition results of selected video for famous people recognition. Experimental results of the proposed method on selected video has the recognition accuracy up to 76.4% for Euclidean distance, 75.9% for Manhattan distance,and 64.5% for LVQNET Network with histogram equalization filtering technique is applied. The ability of the proposed system has been proven to be effective and has a significant value for intelligent applications such as automated video based face recognition on selected person. 2015 Thesis http://eprints.usm.my/41328/ http://eprints.usm.my/41328/1/YII_WEN_WEN_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Yii , Wen Wen Development Of Famous People Recognition System From Video Sequences
description	Video based face recognition has become an important task due to the huge demand on the surveillance system application such as monitoring activities of closed circuit TV (CCTV). There are some cases due to the security reason, an identity of interest (IoI) need to be searched manually from all the captured video through CCTV devices. This task is tiring, tedious and wasting time by looking through video one by one. Therefore, the initial work of developing a basic system for video based face recognition on searching selected identity of interest automatically is proposed in this research. In this research, combination of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are used as feature extractor. Three feature classifiers used in this system are Euclidean Distance, Manhattan Distance, and Learning Vector Quantization Neural Network (LVQNET). Comparison between the performance of three classifiers have been conducted on the overall recognition results of selected video for famous people recognition. Experimental results of the proposed method on selected video has the recognition accuracy up to 76.4% for Euclidean distance, 75.9% for Manhattan distance,and 64.5% for LVQNET Network with histogram equalization filtering technique is applied. The ability of the proposed system has been proven to be effective and has a significant value for intelligent applications such as automated video based face recognition on selected person.
format	Thesis
qualification_level	Master's degree
author	Yii , Wen Wen
author_facet	Yii , Wen Wen
author_sort	Yii , Wen Wen
title	Development Of Famous People Recognition System From Video Sequences
title_short	Development Of Famous People Recognition System From Video Sequences
title_full	Development Of Famous People Recognition System From Video Sequences
title_fullStr	Development Of Famous People Recognition System From Video Sequences
title_full_unstemmed	Development Of Famous People Recognition System From Video Sequences
title_sort	development of famous people recognition system from video sequences
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2015
url	http://eprints.usm.my/41328/1/YII_WEN_WEN_24_Pages.pdf
_version_	1747820912319660032

Development Of Famous People Recognition System From Video Sequences

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