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1. 发明授权

US07885463B2 Image segmentation using spatial-color Gaussian mixture models 失效
标题翻译：使用空间色高斯混合模型的图像分割
公开(公告)号：US07885463B2
公开(公告)日：2011-02-08
申请号：US11393576
申请日：2006-03-30
申请人： Cha Zhang , Michael Cohen , Yong Rui , Ting Yu
发明人： Cha Zhang , Michael Cohen , Yong Rui , Ting Yu
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06T7/11 , G06T7/143 , G06T7/162 , G06T7/194 , G06T2207/10016 , G06T2207/10024 , G06T2207/20072
摘要： A spatial-color Gaussian mixture model (SCGMM) image segmentation technique for segmenting images. The SCGMM image segmentation technique specifies foreground objects in the first frame of an image sequence, either manually or automatically. From the initial segmentation, the SCGMM segmentation system learns two spatial-color Gaussian mixture models (SCGMM) for the foreground and background objects. These models are built into a first-order Markov random field (MRF) energy function. The minimization of the energy function leads to a binary segmentation of the images in the image sequence, which can be solved efficiently using a conventional graph cut procedure.
摘要翻译：用于分割图像的空间色彩高斯混合模型（SCGMM）图像分割技术。 SCGMM图像分割技术手动或自动地指定图像序列的第一帧中的前景对象。从初始分割，SCGMM分割系统为前景和背景对象学习两个空间色高斯混合模型（SCGMM）。这些模型内置于一阶马尔科夫随机场（MRF）能量函数中。能量函数的最小化导致图像序列中的图像的二进制分割，这可以使用常规的图形切割程序有效地解决。

2. 发明申请

US20070237393A1 Image segmentation using spatial-color gaussian mixture models 失效
标题翻译：使用空间色高斯混合模型的图像分割
公开(公告)号：US20070237393A1
公开(公告)日：2007-10-11
申请号：US11393576
申请日：2006-03-30
申请人： Cha Zhang , Michael Cohen , Yong Rui , Ting Yu
发明人： Cha Zhang , Michael Cohen , Yong Rui , Ting Yu
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06T7/11 , G06T7/143 , G06T7/162 , G06T7/194 , G06T2207/10016 , G06T2207/10024 , G06T2207/20072
摘要： A spatial-color Gaussian mixture model (SCGMM) image segmentation technique for segmenting images. The SCGMM image segmentation technique specifies foreground objects in the first frame of an image sequence, either manually or automatically. From the initial segmentation, the SCGMM segmentation system learns two spatial-color Gaussian mixture models (SCGMM) for the foreground and background objects. These models are built into a first-order Markov random field (MRF) energy function. The minimization of the energy function leads to a binary segmentation of the images in the image sequence, which can be solved efficiently using a conventional graph cut procedure
摘要翻译：用于分割图像的空间色彩高斯混合模型（SCGMM）图像分割技术。 SCGMM图像分割技术手动或自动地指定图像序列的第一帧中的前景对象。从初始分割，SCGMM分割系统为前景和背景对象学习两个空间色高斯混合模型（SCGMM）。这些模型内置于一阶马尔科夫随机场（MRF）能量函数中。能量函数的最小化导致图像序列中的图像的二进制分割，这可以使用常规的图形切割程序有效地解决

3. 发明授权

US08510110B2 Identification of people using multiple types of input 有权
标题翻译：识别使用多种输入的人
公开(公告)号：US08510110B2
公开(公告)日：2013-08-13
申请号：US13546153
申请日：2012-07-11
申请人： Cha Zhang , Paul A. Viola , Pei Yin , Ross G. Cutler , Xinding Sun , Yong Rui
发明人： Cha Zhang , Paul A. Viola , Pei Yin , Ross G. Cutler , Xinding Sun , Yong Rui
IPC分类号： G10L15/00
CPC分类号： G06K9/6256 , G06K9/4614 , G10L25/78 , G10L2021/02166 , H04N7/147 , H04N7/15 , H04N21/42203 , H04N21/4223 , H04N21/4394 , H04N21/44008 , H04N21/44213 , H04N21/4788
摘要： Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要翻译：公开了以自动方式检测人或扬声器的系统和方法。可以识别包括多于一种类型的输入（例如音频输入和视频输入）的功能池，并与学习算法一起使用以生成识别人或扬声器的分类器。可以评估所得分类器以检测人或扬声器。

4. 发明授权

US07783075B2 Background blurring for video conferencing 有权
标题翻译：视频会议背景模糊
公开(公告)号：US07783075B2
公开(公告)日：2010-08-24
申请号：US11422693
申请日：2006-06-07
申请人： Cha Zhang , Li-wei He , Yong Rui
发明人： Cha Zhang , Li-wei He , Yong Rui
IPC分类号： G06K9/00 , G06K9/34 , G06K9/40
CPC分类号： G06K9/00228 , H04N7/147
摘要： Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.
摘要翻译：背景模糊是在视频会议中保持隐私和保持通信有效的有效方式。目前的图像背景模糊技术是使用与对象（例如脸部）检测器/跟踪器组合的快速背景建模过程来执行背景模糊的轻量级实时技术。基于多个视觉特征，在每个像素上做出软判决是否属于前景或背景。分类结果映射到每像素模糊半径图像以模糊背景。在另一个实施例中，图像背景模糊技术在不使用对象检测器的情况下模糊图像的背景。

5. 发明申请

US20110313766A1 IDENTIFICATION OF PEOPLE USING MULTIPLE TYPES OF INPUT 有权
标题翻译：使用多种输入类型识别人
公开(公告)号：US20110313766A1
公开(公告)日：2011-12-22
申请号：US13221640
申请日：2011-08-30
申请人： Cha Zhang , Paul A. Viola , Pei Yin , Ross G. Cutler , Xinding Sun , Yong Rui
发明人： Cha Zhang , Paul A. Viola , Pei Yin , Ross G. Cutler , Xinding Sun , Yong Rui
IPC分类号： G10L17/00
CPC分类号： G06K9/6256 , G06K9/4614 , G10L25/78 , G10L2021/02166 , H04N7/147 , H04N7/15 , H04N21/42203 , H04N21/4223 , H04N21/4394 , H04N21/44008 , H04N21/44213 , H04N21/4788
摘要： Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要翻译：公开了以自动方式检测人或扬声器的系统和方法。可以识别包括多于一种类型的输入（例如音频输入和视频输入）的功能池，并与学习算法一起使用以生成识别人或扬声器的分类器。可以评估所得分类器以检测人或扬声器。

6. 发明申请

US20070118868A1 Distributed presentations employing inputs from multiple video cameras located at multiple sites and customizable display screen configurations 失效
标题翻译：分布式演示文稿，采用位于多个位置的多台摄像机的输入和可定制的显示屏幕配置
公开(公告)号：US20070118868A1
公开(公告)日：2007-05-24
申请号：US11286651
申请日：2005-11-23
申请人： Cha Zhang , Bin Yu , Yong Rui
发明人： Cha Zhang , Bin Yu , Yong Rui
IPC分类号： H04N7/173
CPC分类号： H04N7/181 , H04N21/4223 , H04N21/4316
摘要： A computer network-based distributed presentation system and process is presented that controls the display of one or more video streams output by multiple video cameras located across multiple presentation sites on display screens located at each presentation site. The distributed presentation system and process provides the ability for a user at a site to customize the screen configuration (i.e., what video streams are display at any one time and in what format) for that site via a two-layer display director module. In the design layer of the module, a user interface is provided for a user to specify display priorities dictating what video streams are to be displayed on the screen over time. These display priorities are then provided to the execution layer of the module which translates them into probabilistic timed automata and uses the automata to control what is displayed on the display screen.
摘要翻译：提出了一种基于计算机网络的分布式呈现系统和过程，其控制由位于每个呈现站点的显示屏幕上的多个呈现站点上的多个摄像机输出的一个或多个视频流的显示。分布式呈现系统和过程提供了一个站点用户通过两层显示导演模块定制屏幕配置（即，任何一个时间和以什么格式显示什么视频流）的能力。在模块的设计层中，为用户提供用户界面，以指定显示优先级，指定在屏幕上随时间显示哪些视频流。然后将这些显示优先级提供给模块的执行层，将其转换为概率定时自动机，并使用自动机来控制显示屏上显示的内容。

7. 发明授权

US08085302B2 Combined digital and mechanical tracking of a person or object using a single video camera 有权
标题翻译：使用单个摄像机对人物或物体的组合数字和机械跟踪
公开(公告)号：US08085302B2
公开(公告)日：2011-12-27
申请号：US11284496
申请日：2005-11-21
申请人： Cha Zhang , Li-wei He , Yong Rui
发明人： Cha Zhang , Li-wei He , Yong Rui
IPC分类号： H04N5/225
CPC分类号： H04N7/185 , G08B13/19667 , H04N7/188
摘要： A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.
摘要翻译：呈现了组合的数字和机械跟踪系统和用于使用跟踪在场景中移动的感兴趣的对象的单个数字摄像机生成视频的过程。这通常涉及以比应用所需要的更高的分辨率来操作相机，以及从作为输出视频输出的捕获的图像中剪切一个子区域。被跟踪的人或物体至少部分地包含在裁剪的子区域内。随着人或物体在照相机的视场内移动，裁剪的子区域的位置也被移动，以将感兴趣的对象保持在其边界内。当感兴趣的主题移动到相机的FOV的边界时，相机被机械地平移以将人或物体保持在其FOV内。

8. 发明申请

US20070286520A1 BACKGROUND BLURRING FOR VIDEO CONFERENCING 有权
标题翻译：背景影像视频会议
公开(公告)号：US20070286520A1
公开(公告)日：2007-12-13
申请号：US11422693
申请日：2006-06-07
申请人： Cha Zhang , Li-wei He , Yong Rui
发明人： Cha Zhang , Li-wei He , Yong Rui
IPC分类号： G06K9/40 , G06K9/34
CPC分类号： G06K9/00228 , H04N7/147
摘要： Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.
摘要翻译：背景模糊是在视频会议中保持隐私和保持通信有效的有效方式。目前的图像背景模糊技术是使用与对象（例如脸部）检测器/跟踪器组合的快速背景建模过程来执行背景模糊的轻量级实时技术。基于多个视觉特征，在每个像素上做出软判决是否属于前景或背景。分类结果映射到每像素模糊半径图像以模糊背景。在另一个实施例中，图像背景模糊技术在不使用对象检测器的情况下模糊图像的背景。

9. 发明申请

US20070120979A1 Combined digital and mechanical tracking of a person or object using a single video camera 有权
标题翻译：使用单个摄像机对人物或物体的组合数字和机械跟踪
公开(公告)号：US20070120979A1
公开(公告)日：2007-05-31
申请号：US11284496
申请日：2005-11-21
申请人： Cha Zhang , Li-wei He , Yong Rui
发明人： Cha Zhang , Li-wei He , Yong Rui
IPC分类号： H04N7/18
CPC分类号： H04N7/185 , G08B13/19667 , H04N7/188
摘要： A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.
摘要翻译：呈现了组合的数字和机械跟踪系统和用于使用跟踪在场景中移动的感兴趣的对象的单个数字摄像机生成视频的过程。这通常涉及以比应用所需要的更高的分辨率来操作相机，以及从作为输出视频输出的捕获的图像中剪切一个子区域。被跟踪的人或物体至少部分地包含在裁剪的子区域内。随着人或物体在照相机的视场内移动，裁剪的子区域的位置也被移动，以将感兴趣的对象保持在其边界内。当感兴趣的主题移动到相机的FOV的边界时，相机被机械地平移以将人或物体保持在其FOV内。

10. 发明申请

US20120278077A1 IDENTIFICATION OF PEOPLE USING MULTIPLE TYPES OF INPUT 有权
标题翻译：使用多种输入类型识别人
公开(公告)号：US20120278077A1
公开(公告)日：2012-11-01
申请号：US13546153
申请日：2012-07-11
申请人： Cha Zhang , Paul A. Viola , Pei Yin , Ross G. Cutler , Xinding Sun , Yong Rui
发明人： Cha Zhang , Paul A. Viola , Pei Yin , Ross G. Cutler , Xinding Sun , Yong Rui
IPC分类号： G10L17/00
CPC分类号： G06K9/6256 , G06K9/4614 , G10L25/78 , G10L2021/02166 , H04N7/147 , H04N7/15 , H04N21/42203 , H04N21/4223 , H04N21/4394 , H04N21/44008 , H04N21/44213 , H04N21/4788
摘要： Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要翻译：公开了以自动方式检测人或扬声器的系统和方法。可以识别包括多于一种类型的输入（例如音频输入和视频输入）的功能池，并与学习算法一起使用以生成识别人或扬声器的分类器。可以评估所得分类器以检测人或扬声器。

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