Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System

碩士 === 國立交通大學 === 電控工程研究所 === 101 === This thesis develops a mobile remote surveillance system (MRSS) for users to watch a specific location via the wireless Internet. The aim is to design an App running on Android mobile devices to connect an operational server. The proposed MRSS adopts a PC-based...

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Main Authors: Hsu, Chao-Tsun, 徐兆村
Other Authors: Chen, Yon-Ping
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/vtdws5
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spelling ndltd-TW-101NCTU54490702019-05-15T21:13:33Z http://ndltd.ncl.edu.tw/handle/vtdws5 Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System 基於區域二值化紋理之人臉認證在 行動裝置遠端監控系統之應用 Hsu, Chao-Tsun 徐兆村 碩士 國立交通大學 電控工程研究所 101 This thesis develops a mobile remote surveillance system (MRSS) for users to watch a specific location via the wireless Internet. The aim is to design an App running on Android mobile devices to connect an operational server. The proposed MRSS adopts a PC-based operational server with fast calculating ability and large data capacity to fulfill the functions in remote surveillance and control, such as multimedia transmission through TCP protocol, access of user’s data, human face detection and verification and remote control of IP camera. To promote the level of personal privacy and information security, besides the password it is required to execute face verifications before the user watches the desired images. To increase the accuracy of face verification, this thesis develops an NN-Based face verification system which adopts the LBP operation to extract the face features. To demonstrate the performance of the MRSS system, the proposed Apps are executed on a SAMSUNG Galaxy SII phone and an Acer ICONIA Tab. Under the frame rate of 15 frames per second, the accuracy of human face verification is up to 95.77%. Chen, Yon-Ping 陳永平 2013 學位論文 ; thesis 51 en_US
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language en_US
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 電控工程研究所 === 101 === This thesis develops a mobile remote surveillance system (MRSS) for users to watch a specific location via the wireless Internet. The aim is to design an App running on Android mobile devices to connect an operational server. The proposed MRSS adopts a PC-based operational server with fast calculating ability and large data capacity to fulfill the functions in remote surveillance and control, such as multimedia transmission through TCP protocol, access of user’s data, human face detection and verification and remote control of IP camera. To promote the level of personal privacy and information security, besides the password it is required to execute face verifications before the user watches the desired images. To increase the accuracy of face verification, this thesis develops an NN-Based face verification system which adopts the LBP operation to extract the face features. To demonstrate the performance of the MRSS system, the proposed Apps are executed on a SAMSUNG Galaxy SII phone and an Acer ICONIA Tab. Under the frame rate of 15 frames per second, the accuracy of human face verification is up to 95.77%.
author2 Chen, Yon-Ping
author_facet Chen, Yon-Ping
Hsu, Chao-Tsun
徐兆村
author Hsu, Chao-Tsun
徐兆村
spellingShingle Hsu, Chao-Tsun
徐兆村
Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System
author_sort Hsu, Chao-Tsun
title Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System
title_short Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System
title_full Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System
title_fullStr Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System
title_full_unstemmed Face Verification Based on Local Binary Pattern Applied to Mobile Remote Surveillance System
title_sort face verification based on local binary pattern applied to mobile remote surveillance system
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/vtdws5
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