Multi images retrieved for automatic intruder detection using kernel-based learning algorithm
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.
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BRAC University
2016
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10361-64332019-09-30T03:09:04Z Multi images retrieved for automatic intruder detection using kernel-based learning algorithm Shahrear, S.M Fardin Karim, Kazi Lamiyah Daraksha Muntaha, Rakibun Anika, Afra Ahmed, Supriyo Shafkat Department of Electrical and Electronic Engineering, BRAC University Automatic intruder Principle Component Analysis (PCA) Kernel-based Online Anomaly Detection Algorithm (KOAD) This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 54-55). Over the course of the last few decades, security systems have undergone radical overhauls and have transitioned into such sophisticated devices that some even completely overcome any form of human interventions. In this paper we apply a recursive Kernel-based Online Anomaly Detection algorithm to propose an automated, real-time intruder detection mechanism for surveillance networks. Our proposed method is portable and adaptive, and does not require any expensive or advanced components. Real images are collected using a rotating camera over a span of space and time, along with the comparison using common methods based on Principle Component Analysis (PCA), can show that it is possible to obtain high detection accuracy with low complexity. Thus, it could also exhibit sensitivity to threshold choices, and have no natural distributed form. S.M Fardin Shahrear Kazi Lamiyah Daraksha Karim Rakibun Muntaha Afra Anika B. Electrical and Electronic Engineering 2016-09-21T04:52:39Z 2016-09-21T04:52:39Z 2016 2016-08 Thesis ID 12110021 ID 12110020 ID 12110031 ID 12110019 http://hdl.handle.net/10361/6433 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 55 pages application/pdf BRAC University |
institution |
Brac University |
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Institutional Repository |
language |
English |
topic |
Automatic intruder Principle Component Analysis (PCA) Kernel-based Online Anomaly Detection Algorithm (KOAD) |
spellingShingle |
Automatic intruder Principle Component Analysis (PCA) Kernel-based Online Anomaly Detection Algorithm (KOAD) Shahrear, S.M Fardin Karim, Kazi Lamiyah Daraksha Muntaha, Rakibun Anika, Afra Multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016. |
author2 |
Ahmed, Supriyo Shafkat |
author_facet |
Ahmed, Supriyo Shafkat Shahrear, S.M Fardin Karim, Kazi Lamiyah Daraksha Muntaha, Rakibun Anika, Afra |
format |
Thesis |
author |
Shahrear, S.M Fardin Karim, Kazi Lamiyah Daraksha Muntaha, Rakibun Anika, Afra |
author_sort |
Shahrear, S.M Fardin |
title |
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
title_short |
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
title_full |
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
title_fullStr |
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
title_full_unstemmed |
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
title_sort |
multi images retrieved for automatic intruder detection using kernel-based learning algorithm |
publisher |
BRAC University |
publishDate |
2016 |
url |
http://hdl.handle.net/10361/6433 |
work_keys_str_mv |
AT shahrearsmfardin multiimagesretrievedforautomaticintruderdetectionusingkernelbasedlearningalgorithm AT karimkazilamiyahdaraksha multiimagesretrievedforautomaticintruderdetectionusingkernelbasedlearningalgorithm AT muntaharakibun multiimagesretrievedforautomaticintruderdetectionusingkernelbasedlearningalgorithm AT anikaafra multiimagesretrievedforautomaticintruderdetectionusingkernelbasedlearningalgorithm |
_version_ |
1814309755805499392 |