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Grouping viewpoint images into scenes based on similarity between frames

机译:基于帧之间的相似性对视点图像进行分组到场景中

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We propose a method of automatically generating a snapshot sequence, which describes usual events, from head-mounted video camera. And we discuss a relationship between the snapshot sequence and behavior. We extract a snapshot from its video frames when the head hardly moved. This condition appears when the subject kept observation. As the eye (head) motion relates to his behavior, the snapshot sequence relates to his behavior, too. At its condition, neighbor frames are highly similar. So, we judge the head motion by similarity between neighbor frames. We use similarity estimation method by local grayvalue invariants.
机译:我们提出了一种自动生成快照序列的方法,该快照序列描述了从头安装的摄像机。我们讨论了快照序列和行为之间的关系。我们在磁头几乎移动时从其视频帧中提取快照。当主题保持观察时,这种情况出现。随着眼睛(头部)运动与他的行为有关,快照序列也涉及他的行为。在其条件下,邻居框架非常相似。因此,我们通过邻居框架之间的相似性判断头部运动。我们通过本地灰度value不变使用相似性估计方法。

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