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    • 3. 发明申请
    • Background detection as an optimization for gesture recognition
    • 背景检测作为手势识别的优化
    • US20150003727A1
    • 2015-01-01
    • US14485186
    • 2014-09-12
    • Google Inc.
    • Thor CarpenterFrank PettersonJanahan Vivekanandan
    • G06K9/00G06T7/00
    • G06K9/00335G06T7/11G06T7/143G06T7/194G06T2207/10016G06T2207/10024G06T2207/20016
    • Methods and systems are provided allowing for background identification and gesture recognition in video images. A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at feast one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; determining background pixels, based on a probability threshold value, from the single probability image; and determining whether the plurality of image frames, when examined in a particular sequence, conveys a gesture by the object.
    • 提供了允许在视频图像中进行背景识别和手势识别的方法和系统。 计算机实现的图像处理方法包括:使用至少一个处理电路接收视频的多个图像帧; 在多个像素粒度级别构建,使用一个处理电路中的多个图像帧的多个统计模型; 基于所述多个统计模型,构建使用至少一个处理电路多个信道粒度级的输入图像帧的概率模型; 基于加权平均来合并多个概率模型中的至少一些以形成单个概率图像; 基于概率阈值从单个概率图像确定背景像素; 以及当以特定顺序检查时,确定所述多个图像帧是否由所述对象传送手势。
    • 7. 发明授权
    • Automatic background identification in video images
    • 视频图像中的自动背景识别
    • US08923611B2
    • 2014-12-30
    • US14070412
    • 2013-11-01
    • Google Inc.
    • Thor Carpenter
    • G06K9/62G06K9/34G06T7/00
    • G06K9/6212G06K9/34G06T7/11G06T7/136G06T7/143G06T7/194G06T2207/10016G06T2207/10024G06T2207/20076
    • Methods and systems are provided allowing for background identification in video images. A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at least one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; and determining background pixels, based on a probability threshold value, from the single probability image.
    • 提供了允许在视频图像中进行背景识别的方法和系统。 计算机实现的图像处理方法包括:使用至少一个处理电路接收视频的多个图像帧; 使用至少一个处理电路,以多个像素粒度级构造所述多个图像帧的多个统计模型; 基于所述多个统计模型,构建使用至少一个处理电路多个信道粒度级的输入图像帧的概率模型; 基于加权平均来合并多个概率模型中的至少一些以形成单个概率图像; 以及基于概率阈值从单个概率图像确定背景像素。
    • 9. 发明授权
    • Image blur with preservation of detail
    • 图像模糊与保存细节
    • US09105088B1
    • 2015-08-11
    • US14046919
    • 2013-10-04
    • Google Inc.
    • Ryan PetrieThor Carpenter
    • G06K9/40G06T5/00
    • G06T5/003G06T5/002G06T5/004G06T5/50G06T2207/10004G06T2207/20012G06T2207/20192G06T2207/20221G06T2207/30201
    • Implementations relate to blurring an image while preserving details in the image. In some implementations, a method includes receiving an input image and creating a blurred image from the input image by averaging pixel intensities of a plurality of pixels in the input image. The method creates a transparency mask from the input image, where the transparency mask indicates transparency values for pixel positions of the input image based on edges detected in the input image. The pixel intensities of the input image and pixel intensities of the blurred image are composited based on the transparency values of the transparency mask to create an output image having greater blur than the input image in areas outside the detected edges.
    • 实现涉及模糊图像同时保留图像中的细节。 在一些实现中,一种方法包括通过对输入图像中的多个像素的像素强度进行平均来从输入图像接收输入图像并创建模糊图像。 该方法从输入图像创建透明度掩码,其中透明掩码基于输入图像中检测到的边缘来指示输入图像的像素位置的透明度值。 基于透明度掩模的透明度值来合成输入图像的像素强度和模糊图像的像素强度,以在检测到的边缘之外的区域中产生具有比输入图像更大的模糊的输出图像。