Abandoned object detection with video surveillance
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
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2015
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10361-39702022-01-26T10:21:50Z Abandoned object detection with video surveillance Aurangzeb, Chowdhury Farsad Shanchary, Israt Jahan Tasdid, Salman Biswwas, Rubel Department of Computer Science and Engineering, BRAC University Computer science and engineering Video surveillance This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. Cataloged from PDF version of thesis report. Includes bibliographical references (page 49 - 50). We are presenting a new framework for smart threat detection with the help of video surveillance which captures live streaming from the camera and determine if any abandoned object has been set up. It then raises an alarm right after the carrier of the bag leaves the scene. The abandoned object is detected with the help of background subtraction and brought more accuracy on the object’s image with the help of morphology. Every individual person on the frame is being detected by their body with the help of Kalman filter and brought relation of the body with the bag, so that the alarm is raised only when the body of the abandoned object carrier leaves the frame. Chowdhury Farsad Aurangzeb Israt Jahan Shanchary Salman Tasdid B. Computer Science and Engineering 2015-01-31T10:10:16Z 2015-01-31T10:10:16Z 2014 2014 Thesis ID 11301019 ID 10201022 ID 08110072 http://hdl.handle.net/10361/3970 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. 50 pages application/pdf BRAC University |
institution |
Brac University |
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Institutional Repository |
language |
English |
topic |
Computer science and engineering Video surveillance |
spellingShingle |
Computer science and engineering Video surveillance Aurangzeb, Chowdhury Farsad Shanchary, Israt Jahan Tasdid, Salman Abandoned object detection with video surveillance |
description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. |
author2 |
Biswwas, Rubel |
author_facet |
Biswwas, Rubel Aurangzeb, Chowdhury Farsad Shanchary, Israt Jahan Tasdid, Salman |
format |
Thesis |
author |
Aurangzeb, Chowdhury Farsad Shanchary, Israt Jahan Tasdid, Salman |
author_sort |
Aurangzeb, Chowdhury Farsad |
title |
Abandoned object detection with video surveillance |
title_short |
Abandoned object detection with video surveillance |
title_full |
Abandoned object detection with video surveillance |
title_fullStr |
Abandoned object detection with video surveillance |
title_full_unstemmed |
Abandoned object detection with video surveillance |
title_sort |
abandoned object detection with video surveillance |
publisher |
BRAC University |
publishDate |
2015 |
url |
http://hdl.handle.net/10361/3970 |
work_keys_str_mv |
AT aurangzebchowdhuryfarsad abandonedobjectdetectionwithvideosurveillance AT shancharyisratjahan abandonedobjectdetectionwithvideosurveillance AT tasdidsalman abandonedobjectdetectionwithvideosurveillance |
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