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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Abandoned object detection with video surveillance

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    Final Thesis Paper (Fall 2014).pdf (1.779Mb)
    Date
    2014
    Publisher
    BRAC University
    Author
    Aurangzeb, Chowdhury Farsad
    Shanchary, Israt Jahan
    Tasdid, Salman
    Metadata
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    URI
    http://hdl.handle.net/10361/3970
    Abstract
    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.
    Keywords
    Computer science and engineering; 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.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 49 - 50).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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