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CLASS AGNOSTIC REPETITION COUNTING IN VIDEO(S) UTILIZING A TEMPORAL SELF-SIMILARITY MATRIX

机译:使用时间自相似矩阵的视频中阶级不可知的重复计数

摘要

Techniques are disclosed that enable processing a video capturing a periodic activity using a repetition network to generate periodic output (e.g., a period length of the periodic activity captured in the video and/or a frame wise periodicity indication of the video capturing the periodic activity). Various implementations include a class agnostic repetition network which can be used to generate periodic output for a wide variety of periodic activities. Additional or alternative implementations include generating synthetic repetition videos which can be utilized to train the repetition network.
机译:公开了技术,使得能够使用重复网络来处理捕获周期性活动的视频以生成周期性输出(例如,在视频中捕获的视频中捕获的周期性活动的周期度长度,并且视频捕获周期性活动的视频的周期性的周期性指示) 。 各种实现包括类别不可知的重复网络,其可用于为各种周期性活动生成周期性输出。 附加或替代实施方式包括生成可用于训练重复网络的合成重复视频。

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