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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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    Automated incident detection in surveillance systems

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    AUTOMATED INCIDENT DETECTION IN SURVEILLANCE SYSTEMS.pdf (544.5Kb)
    Date
    2009-04
    Publisher
    BRAC University
    Author
    Motiwala, Murtaza
    Ahmed, Shupriyo Shafkat
    Ahmed, Sabrina
    Metadata
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    URI
    http://hdl.handle.net/10361/683
    Abstract
    The importance of public security cannot be overemphasized in today’s world. Surveillance systems consisting of extensive camera networks now have many applications. The London Underground has 9000 cameras, with each staff required to monitor as many as 60 at a time. This presents a significant scope for automation. Processing a sequence of images from a network presents challenges in terms of deciding upon the feature set to be extracted, and the appropriate choice of algorithm. We investigate methods based upon principal component analysis and nearest-neighbor distances to propose a system of automated intruder detection in surveillance systems and suggest new applications in Bangladesh of such systems.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 47).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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