VIDEO OUTPUT DEVICE
    4.
    发明申请
    VIDEO OUTPUT DEVICE 审中-公开
    视频输出设备

    公开(公告)号:US20150201150A1

    公开(公告)日:2015-07-16

    申请号:US14667654

    申请日:2015-03-24

    Abstract: A video output device according to the present disclosure synthesizes a plurality of videos into a video to be displayed. The video output device includes image processing unit and output unit. The image processing unit extracts a plurality of reference frames from any one reference video selected from the plurality of the videos captured by an imaging unit, and extracts a corresponding frame, most similar to a respective one of the reference frames, from each of the videos excluding the reference video. The output unit outputs a synthesized frame which image processing unit synthesizes from the each of the reference frame and the corresponding frame.

    Abstract translation: 根据本公开的视频输出装置将多个视频合成为要显示的视频。 视频输出装置包括图像处理单元和输出单元。 图像处理单元从由成像单元捕获的多个视频中选择的任何一个参考视频中提取多个参考帧,并且从每个视频中提取最相似于参考帧的相应帧的对应帧 不包括参考视频。 输出单元输出图像处理单元从参考帧和对应帧中的每一个合成的合成帧。

    ESTIMATION APPARATUS AND ESTIMATION METHOD
    5.
    发明公开

    公开(公告)号:US20230206657A1

    公开(公告)日:2023-06-29

    申请号:US17987210

    申请日:2022-11-15

    CPC classification number: G06V20/597 G06V20/58 G06V40/174 G06V10/776 G06V40/20

    Abstract: An estimation apparatus includes: an image information obtainer that obtains image information of a captured image of a driver; a first detector that detects face information indicating facial behavior of the driver, based on the image information; a first reliability calculator that calculates first reliability; a second detector that detects body information indicating body movement of the driver, based on the image information; a second reliability calculator that calculates second reliability; a weight setter that, when the face information and the body information are detected, sets a first weight corresponding to the face information and a second weight corresponding to the body information based on the first reliability and the second reliability; and an estimator that estimates drowsiness of the driver based on the face information weighted by the first weight and the body information weighted by the second weight.

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