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Space-time invariants and video motion extraction from arbitrary viewpoints

机译:时空不变和从任意角度提取视频运动

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The recognition of motions is very important for understanding dynamic actions and extracting events from video sequences. We propose invariants on object motions, which can be extracted from image sequences, and are invariant even if the motions are viewed from arbitrary viewpoints. We call them space-time invariants since they are defined under space-time projections. We show that these invariants are very useful for extracting specific motions from video sequences. The proposed space-time invariants are implemented and tested on real image sequences.
机译:动作识别对于理解动态动作和从视频序列中提取事件非常重要。我们提出了对象运动的不变性,可以从图像序列中提取出不变性,即使从任意角度观察运动也不变。我们将它们称为时空不变式,因为它们是在时空投影下定义的。我们证明了这些不变量对于从视频序列中提取特定运动非常有用。所提出的时空不变性是在真实图像序列上实现和测试的。

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