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Filtering by: Subject Football -- Offense Remove constraint Subject: Football -- Offense Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Degree Level Master's Remove constraint Degree Level: Master's 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:
    detects the initial motion of one or more WRs in a football play, then we know that the offense is on