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发明申请
US20070177792A1 Automated activity detection using supervised learning 有权
使用监督学习的自动活动检测

Automated activity detection using supervised learning
摘要：
In an embodiment, one or more sequences of learning video data is provided. The learning video sequences include an action. One or more features of the action are extracted from the one or more sequences of learning video data. Thereafter, a reception of a sequence of operational video data is enabled, and an extraction of the one or more features of the action from the sequence of operational video data is enabled. A comparison is then enabled between the extracted one or more features of the action from the one or more sequences of learning video data and the one or more features of the action from the sequence of operational video data. In an embodiment, this comparison allows the determination of whether the action in present in the operational video data.
摘要（中）：

在一个实施例中，提供学习视频数据的一个或多个序列。 学习视频序列包括动作。 从学习视频数据的一个或多个序列中提取动作的一个或多个特征。 此后，启用操作视频数据序列的接收，并且能够从操作视频数据序列中提取动作的一个或多个特征。 然后，从所述学习视频数据的一个或多个序列以及来自所述操作视频数据序列的所述动作的所述一个或多个特征，提取所述动作的一个或多个特征之间的比较。 在一个实施例中，该比较允许确定当前在操作视频数据中的动作。

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