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Filtering by: Alternative title ssim Report no. 1876 Remove constraint Alternative title ssim: Report no. 1876 Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Committee Member Bailey, Mike Remove constraint Committee Member: Bailey, Mike Subject Computer vision Remove constraint Subject: Computer vision

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  • Offensive Direction Inference in Real-World Football Video

    Creator:
    Lu, Qingkai
    Abstract:
    Automatic analysis of American football videos can help teams develop strategies and extract patterns with less human effort. In this work, we focus on the problem of automatically determining which team is on offense/defense, which is an important subproblem for higher-level analysis. While seemingly mundane, this problem is quite challenging...
    Resource Type:
    Masters Thesis
    Full Text:
    , during which no game action happens and the teams rearrange. Our football videos are recorded by a PTZ