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公开(公告)号：US08027542B2
公开(公告)日：2011-09-27
申请号：US11764754
申请日：2007-06-18
CPC分类号： G06K9/00711 , G06F17/30781 , G08B13/19613
摘要： An apparatus for detecting an action in a test video. In an illustrative embodiment, the apparatus includes a first mechanism for receiving a query for a particular action via a query video. A second mechanism employs motion vectors associated with the test video to compute one or more motion-similarity values. The one or more motion-similarity values represent motion similarity between a first group of pixels in a first frame of a query video and a second group of pixels in a second frame of the test video based on the motion vectors. A third mechanism uses the one or more similarity values to search for the particular action or similar action in the test video. In a more specific embodiment, another mechanism aggregates the similarity values over a predetermined number of frames to facilitate estimating where the particular action or version thereof occurs or is likely to occur in the test video.
摘要翻译： 一种用于检测测试视频中的动作的装置。 在说明性实施例中，该装置包括用于经由查询视频接收针对特定动作的查询的第一机制。 第二机制使用与测试视频相关联的运动矢量来计算一个或多个运动相似度值。 一个或多个运动相似性值表示基于运动矢量的查询视频的第一帧中的第一组像素与测试视频的第二帧中的第二组像素之间的运动相似度。 第三种机制使用一个或多个相似性值来搜索测试视频中的特定动作或类似动作。 在更具体的实施例中，另一种机制在预定数量的帧上聚合相似度值，以便于估计其测试视频中发生或可能发生的特定动作或版本的位置。
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公开(公告)号：US20080310734A1
公开(公告)日：2008-12-18
申请号：US11764754
申请日：2007-06-18
CPC分类号： G06K9/00711 , G06F17/30781 , G08B13/19613
摘要： An apparatus for detecting an action in a test video. In an illustrative embodiment, the apparatus includes a first mechanism for receiving a query for a particular action via a query video. A second mechanism employs motion vectors associated with the test video to compute one or more motion-similarity values. The one or more motion-similarity values represent motion similarity between a first group of pixels in a first frame of a query video and a second group of pixels in a second frame of the test video based on the motion vectors. A third mechanism uses the one or more similarity values to search for the particular action or similar action in the test video. In a more specific embodiment, another mechanism aggregates the similarity values over a predetermined number of frames to facilitate estimating where the particular action or version thereof occurs or is likely to occur in the test video.
摘要翻译： 一种用于检测测试视频中的动作的装置。 在说明性实施例中，该装置包括用于经由查询视频接收针对特定动作的查询的第一机制。 第二机制使用与测试视频相关联的运动矢量来计算一个或多个运动相似度值。 一个或多个运动相似性值表示基于运动矢量的查询视频的第一帧中的第一组像素与测试视频的第二帧中的第二组像素之间的运动相似度。 第三种机制使用一个或多个相似性值来搜索测试视频中的特定动作或类似动作。 在更具体的实施例中，另一种机制在预定数量的帧上聚合相似度值，以便于估计其测试视频中发生或可能发生的特定动作或版本的位置。
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公开(公告)号：US20100176952A1
公开(公告)日：2010-07-15
申请号：US12631714
申请日：2009-12-04
IPC分类号： G08B23/00
CPC分类号： A61B5/1112 , A61B5/11 , A61B5/1117 , A61B5/6804 , A61B5/6823 , A61B5/6824 , A61B5/6828 , A61B5/6829 , A61B5/6887 , A61B5/7232 , A61B2562/0219
摘要： An approach for determining motions of a body using distributed sensors is disclosed. In one embodiment, an apparatus can include: a plurality of sensors coupled to a body, where each sensor is positioned at about a designated location on the body, and where each sensor is configured to acquire motion data related to movement of the designated location on the body and at which the sensor is positioned, and to reduce the motion data into compressed and transmittable motion data; and a base station configured to receive the compressed motion data via wireless communication from at least one of the plurality of sensors, the base station being further configured to remove outlier information from the received motion data, and to match the received motion data to a predetermined action, where the predetermined action indicates a movement of the body.
摘要翻译： 公开了一种使用分布式传感器确定身体运动的方法。 在一个实施例中，装置可以包括：耦合到主体的多个传感器，其中每个传感器位于身体上的指定位置附近，并且其中每个传感器被配置成获取与指定位置的移动有关的运动数据 身体和传感器所在的位置，并将运动数据减少为压缩和可传输的运动数据; 以及基站，被配置为经由来自所述多个传感器中的至少一个的无线通信来接收所述压缩运动数据，所述基站还被配置为从所接收的运动数据中去除异常值信息，并且将接收的运动数据与预定的 动作，其中预定动作指示身体的运动。
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公开(公告)号：US09060714B2
公开(公告)日：2015-06-23
申请号：US12631714
申请日：2009-12-04
CPC分类号： A61B5/1112 , A61B5/11 , A61B5/1117 , A61B5/6804 , A61B5/6823 , A61B5/6824 , A61B5/6828 , A61B5/6829 , A61B5/6887 , A61B5/7232 , A61B2562/0219
摘要： Methods for classifying aggregated data in a distributed sensor system are provided and illustrated with a wearable motion sensor network. The classification is operated in a distributed fashion on individual sensor nodes and a base station computer. The method classifies actions using a set of training motion sequences as prior examples and may reject outlying actions that are not in the training categories. Acquired sensor data is processed at the node by taking projections of the data to reduce dimensionality, calculating sparse representations of features using training sequences; validating and classifying local measurements and then transmitting classified measurements to a network base station. The base station aggregates local sensor measurements and performs a global classification of the data by forming global features from the local measurements; calculating sparse representations of global features; validating and classifying valid global features; and labeling global features and their corresponding local features.
摘要翻译： 在分布式传感器系统中对聚合数据进行分类的方法用可佩戴的运动传感器网络提供和示出。 该分类在各个传感器节点和基站计算机上以分布式方式操作。 该方法使用一组训练运动序列作为先前示例来分类动作，并且可以拒绝不在训练类别中的离职动作。 获取的传感器数据在节点处处理，通过对数据进行预测以减小维数，使用训练序列计算特征的稀疏表示; 验证和分类本地测量，然后将分类测量发送到网络基站。 基站聚合局部传感器测量，并通过从局部测量形成全局特征来对数据进行全局分类; 计算全局特征的稀疏表示; 验证和分类有效的全局特征; 并标记全局特征及其相应的本地特征。
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