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Abandoned object detection with video surveillance

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorBiswwas, Rubel
dc.contributor.authorAurangzeb, Chowdhury Farsad
dc.contributor.authorShanchary, Israt Jahan
dc.contributor.authorTasdid, Salman
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2015-01-31T10:10:16Z
dc.date.available2015-01-31T10:10:16Z
dc.date.copyright2014
dc.date.issued2014
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 49 - 50).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.en_US
dc.description.abstractWe 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.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityChowdhury Farsad Aurangzeb
dc.description.statementofresponsibilityIsrat Jahan Shanchary
dc.description.statementofresponsibilitySalman Tasdid
dc.format.extent50 pages
dc.identifier.otherID 11301019
dc.identifier.otherID 10201022
dc.identifier.otherID 08110072
dc.identifier.urihttp://hdl.handle.net/10361/3970
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.
dc.subjectComputer science and engineeringen_US
dc.subjectVideo surveillanceen_US
dc.titleAbandoned object detection with video surveillanceen_US
dc.typeThesisen_US

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Thesis (Bachelor of Science in Computer Science and Engineering)