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Tracking system of known objects in unstable lightning conditions on stage using IR and visible spectrum video inputs

Blaž Meden (2016) Tracking system of known objects in unstable lightning conditions on stage using IR and visible spectrum video inputs. MSc thesis.

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    Abstract

    In this research work we address the multiple object tracking problem under challenging illumination conditions. To solve the changing illumination problem, we implement two well known tracking approaches, which are operating in two separated domains. One tracker relies on active marker system, which operates in near infrared spectrum and the other one exploits existing state of the art pedestrian detector and color information by observing the scenery in visible spectrum. By integrating these two approaches, we intend to improve the performance of object tracking in closed areas, rather than using only one of the introduced trackers. This also means that the implemented system is usable in many practical applications, as it is designed to track up to 16 moving objects. In the first part of the thesis, we cover existing research work, which was done in this field, then we describe implementation and evaluation details of the system and finally we propose a set of directions for future research and possible improvements of our system.

    Item Type: Thesis (MSc thesis)
    Keywords: computer vision, object tracking, Kalman filter, particle filter, Hungarian algorithm, infrared markers
    Number of Pages: 83
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Peter Peer294Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537010115)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3347
    Date Deposited: 10 Jun 2016 09:36
    Last Modified: 01 Jul 2016 10:41
    URI: http://eprints.fri.uni-lj.si/id/eprint/3347

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