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    • 1. 发明申请
    • Method and Apparatus for Foreground Object Detection
    • 前景物体检测方法与装置
    • US20130084006A1
    • 2013-04-04
    • US13248242
    • 2011-09-29
    • Tao ZhangYu-Pao Tsai
    • Tao ZhangYu-Pao Tsai
    • G06K9/34
    • G06T7/0081G06T7/11G06T7/143G06T7/194G06T2207/10028
    • The present invention utilizes depth images captured by a depth camera to detect foreground/background. In one embodiment, the method comprises establishing a single background distribution model, updating the background distribution model if a new depth value for the pixel can be represented by the background distribution model, skipping update of the background distribution model if the pixel is before the background, and replacing the background distribution model if the pixel is behind the background. In case that the background distribution model does not exist initially, a new background distribution model is created. In one embodiment of the present invention, the non-meaningful pixels are handled. In another embodiment, fluctuation of the depth value due to noise is handled by using a candidate background distribution model. In yet another embodiment, the noise for pixels around object edges is handled by using a mixture of two background distribution models.
    • 本发明利用深度相机拍摄的深度图像来检测前景/背景。 在一个实施例中,该方法包括建立单个背景分布模型,如果像素的新深度值可以由背景分布模型表示,则更新背景分布模型,如果像素在背景之前跳过背景分布模型的更新 并且如果像素在背景之后,则替换背景分布模型。 在背景分布模型最初不存在的情况下,将创建一个新的背景分布模型。 在本发明的一个实施例中,处理非有意义的像素。 在另一个实施例中,通过使用候选背景分布模型来处理由噪声引起的深度值的波动。 在另一个实施例中,通过使用两个背景分布模型的混合来处理对象边缘周围的像素的噪声。
    • 2. 发明授权
    • Method and apparatus for foreground object detection
    • 用于前景对象检测的方法和装置
    • US08873852B2
    • 2014-10-28
    • US13248242
    • 2011-09-29
    • Tao ZhangYu-Pao Tsai
    • Tao ZhangYu-Pao Tsai
    • G06K9/34G06K9/00G06T7/00
    • G06T7/0081G06T7/11G06T7/143G06T7/194G06T2207/10028
    • The present invention utilizes depth images captured by a depth camera to detect foreground/background. The method comprises establishing a single background distribution model, updating the background distribution model if a new depth value for the pixel can be represented by the background distribution model, skipping update of the background distribution model if the pixel is before the background, and replacing the background distribution model if the pixel is behind the background. In case that the background distribution model does not exist initially, a new background distribution model is created. The fluctuation of the depth value due to noise is handled by using a candidate background distribution model. Furthermore, the noise for pixels around object edges is handled by using a mixture of two background distribution models.
    • 本发明利用深度相机拍摄的深度图像来检测前景/背景。 该方法包括建立单个背景分布模型,如果用于像素的新的深度值可以由背景分布模型表示,则跳过背景分布模型,如果像素在背景之前跳过背景分布模型的更新,则更新背景分布模型 背景分布模型如果像素背后的背景。 在背景分布模型最初不存在的情况下,将创建一个新的背景分布模型。 通过使用候选背景分布模型来处理由噪声引起的深度值的波动。 此外,通过使用两个背景分布模型的混合来处理对象边缘周围的像素的噪声。
    • 3. 发明申请
    • PACKET LOSS CONCEALMENT FOR BIDIRECTIONAL EAR-TO-EAR STREAMING
    • 双向远程流量分组丢失隐患
    • US20170078807A1
    • 2017-03-16
    • US14854716
    • 2015-09-15
    • Frederic Philippe Denis MustiereIvo MerksTao Zhang
    • Frederic Philippe Denis MustiereIvo MerksTao Zhang
    • H04R25/00G10L19/005
    • H04R25/554G10L19/005H04R25/552
    • Embodiments of packet loss concealment in a hearing assistance device are generally described herein. A method for packet loss concealment can include receiving, at a first hearing assistance device, a first encoded packet stream from a second hearing assistance device and a signal frame. The method can include encoding, at the first hearing assistance device, the signal frame and determining, at the first hearing assistance device, that a second encoded packet stream was not received from the second hearing assistance device within a predetermined time. In response to determining that the second encoded packet stream was not received, the method can include decoding, at the first hearing assistance device, the encoded signal frame, and outputting the signal frame and the decoded signal frame.
    • 这里一般地描述助听装置中的分组丢失隐藏的实施例。 一种用于分组丢失隐藏的方法可以包括在第一听力辅助装置处接收来自第二助听装置的第一编码分组流和信号帧。 该方法可以包括在第一听力辅助装置处编码信号帧,并且在第一听力辅助装置处确定在预定时间内没有从第二听力辅助装置接收到第二编码分组流。 响应于确定未接收到第二编码分组流,该方法可以包括在第一听力辅助设备处对编码的信号帧进行解码,以及输出信号帧和解码的信号帧。
    • 8. 发明授权
    • Method and apparatus for microphone matching for wearable directional hearing device using wearer's own voice
    • 用于使用佩戴者自己的声音的可穿戴式定向听力装置的麦克风匹配的方法和装置
    • US09210518B2
    • 2015-12-08
    • US13251358
    • 2011-10-03
    • Tao Zhang
    • Tao Zhang
    • H04R3/00H04R25/00H04R29/00
    • H04R25/407H04R29/006
    • Method and apparatus for microphone matching for wearable directional hearing assistance devices are provided. An embodiment includes a method for matching at least a first microphone to a second microphone, using a user's voice from the user's mouth. The user's voice is processed as received by at least one microphone to determine a frequency profile associated with voice of the user. Intervals are detected where the user is speaking using the frequency profile. Variations in microphone reception between the first microphone and the second microphone are adaptively canceled during the intervals and when the first microphone and second microphone are in relatively constant spatial position with respect to the user's mouth.
    • 提供了一种用于穿戴式定向听力辅助装置的麦克风匹配的方法和装置。 实施例包括使用来自用户嘴部的用户声音来将至少第一麦克风与第二麦克风相匹配的方法。 处理用户的话音由至少一个麦克风接收以确定与用户的语音相关联的频率分布。 使用频率分布检测用户正在说话的间隔。 在第一麦克风和第二麦克风之间的麦克风接收的变化在间隔期间自适应地消除,并且当第一麦克风和第二麦克风相对于用户的嘴处于相对恒定的空间位置时。
    • 10. 发明授权
    • Method for identifying view order of image frames of stereo image pair according to image characteristics and related machine readable medium thereof
    • 用于根据图像特征及其相关的机器可读介质识别立体图像对的图像帧的视图顺序的方法
    • US09031316B2
    • 2015-05-12
    • US13612893
    • 2012-09-13
    • Tao ZhangShan Liu
    • Tao ZhangShan Liu
    • G06K9/00H04N13/00
    • H04N13/106H04N2013/0081H04N2213/007
    • A method for identifying an actual view order of image frames of a stereo image pair includes at least the following steps: receiving the image frames; obtaining image characteristics by analyzing the image frames according to an assumed view order; and identifying the actual view order by checking the image characteristics. In addition, a machine readable medium storing a program code is provided. The program causes a processor to perform at least the following steps for identifying an actual view order of image frames of a stereo image pair when executed by the processor: receiving the image frames; obtaining image characteristics by analyzing the image frames according to an assumed view order; and identifying the actual view order by checking the image characteristics.
    • 用于识别立体图像对的图像帧的实际视图顺序的方法至少包括以下步骤:接收图像帧; 通过根据假定的视图顺序分析图像帧来获得图像特征; 并通过检查图像特征来识别实际的视图顺序。 此外,提供了存储程序代码的机器可读介质。 该程序使得处理器至少执行以下步骤,以便在由处理器执行时识别立体图像对的图像帧的实际视图顺序:接收图像帧; 通过根据假定的视图顺序分析图像帧来获得图像特征; 并通过检查图像特征来识别实际的视图顺序。