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Runner’s identification from the photos

Miha Grgič Jelen (2017) Runner’s identification from the photos. EngD thesis.

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    In the thessis we have developed a solution for identifying runners from photos taken during sport events. For reaching that goal, we developed a procedure, which first isolates each person on the photo. Then we define a target region (for each person), where we belive that the number on the jersey is located. In the next step we execute further image segmentation in order to isolate single digits. After that we use optical character recognition (TesseractOCR) on each of the isolated digit candidates, to determine if it's a number. In the last steps, we perform further result filtering to remove false positive results. The rest of them is joined into the final number. All the tools we have used and the principles behind them, are presented in the paper. We were focusing on object detectors, since this is the key-point in the whole procedure. We also described the user interface we have created for navigation and result visualisation. In the end we explain problems we were not able to solve and ideas for further development.

    Item Type: Thesis (EngD thesis)
    Keywords: object detector, person detector, number detection, optical character recognition, neuron networks, OpenCV, selective search
    Number of Pages: 92
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    viš. pred. dr. Borut Batagelj298Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537593795)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3997
    Date Deposited: 06 Oct 2017 14:40
    Last Modified: 13 Oct 2017 13:14
    URI: http://eprints.fri.uni-lj.si/id/eprint/3997

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