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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Shahrear, S.M Fardin, Karim, Kazi Lamiyah Daraksha, Muntaha, Rakibun, Anika, Afra
Άλλοι συγγραφείς: Ahmed, Supriyo Shafkat
Μορφή: Thesis
Γλώσσα:English
Έκδοση: BRAC University 2016
Θέματα:
Διαθέσιμο Online:http://hdl.handle.net/10361/6433
id 10361-6433
record_format dspace
spelling 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
collection 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
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