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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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    A new feature extraction technique for person identification

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    13101074, 12241002, 12101071, 13101011_CSE.pdf (494.7Kb)
    Date
    4/18/2017
    Publisher
    BRAC University
    Author
    Muazzam, Shakib
    Ali, Tahsin Mohammad
    Shuvo, Md. Mehedi Hasan
    Kaisar, Nabid
    Metadata
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    URI
    http://hdl.handle.net/10361/9040
    Abstract
    This paper proposes a one of a kind model of human distinguishing proof by which we can supplant the persevering work of individuals if there should arise an occurrence of security. Our technique is for the most part in view of human structure identification and face detection with Microsoft Kinect V1.0. With a specific end goal to apply our approach, 6 points of 20 in body structure and 26 points out of 121 in face detection is taken as input. These points are X, Y, Z coordinates outputted by Kinect skeletal and facial followingoutput by Kinect skeletal and facial tracking. 16 unique distances are then calculated by the Euclidean distance formula using the coordinates. These are the selective components extracted from each user and afterward put in a database. At long last, by coordinating calculation our framework distinguishes known or obscure users progressively. Final output is then given as a result with aptitude and noteworthy precision.
    Keywords
    Microsoft Kinect V1.0.; Human structure identification
     
    Description
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (pages 21-22).
     
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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