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公开(公告)号：US20130034295A1
公开(公告)日：2013-02-07
申请号：US13196249
申请日：2011-08-02
Applicant: Masayoshi Tsuchinaga , Mario Fritz , Trevor Darrell
Inventor： Masayoshi Tsuchinaga , Mario Fritz , Trevor Darrell
CPC classification number: G06K9/6857
Abstract: Methods for recognizing a category of an object are disclosed. In one embodiment, a method includes determining, by a processor, a preliminary category of a target object, the preliminary category having a confidence score associated therewith, and comparing the confidence score to a learning threshold. If the highest confidence score is less than the learning threshold, the method further includes estimating properties of the target object and generating a property score for one or more estimated properties, and searching a supplemental image collection for supplemental image data using the preliminary category and the one or more estimated properties. Robots programmed to recognize a category of an object by use of supplemental image data are also disclosed.
Abstract translation: 公开了用于识别对象的类别的方法。 在一个实施例中，一种方法包括由处理器确定目标对象的初始类别，初步类别具有与之相关联的置信度得分，并将置信度分数与学习阈值进行比较。 如果最高可信度得分小于学习阈值，则该方法还包括估计目标对象的属性并生成一个或多个估计属性的属性分数，以及使用初步类别搜索补充图像集合以获得补充图像数据，并且 一个或多个估计属性。 还公开了通过使用补充图像数据来编程来识别对象的类别的机器人。
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公开(公告)号：US06445810B2
公开(公告)日：2002-09-03
申请号：US09726425
申请日：2000-12-01
Applicant: Trevor Darrell , Gaile Gordon , Michael Harville , John Woodfill , Harlyn Baker
Inventor： Trevor Darrell , Gaile Gordon , Michael Harville , John Woodfill , Harlyn Baker
IPC: G06K900
CPC classification number: G06K9/00362
Abstract: Techniques from computer vision and computer graphics are combined to robustly track a target (e.g., a user) and perform a function based upon the image and/or the identity attributed to the target's face. Three primary modules are used to track a user's head: depth estimation, color segmentation, and pattern classification. The combination of these three techniques allows for robust performance despite unknown background, crowded conditions, and rapidly changing pose or expression of the user. Each of the modules can also provide an identity classification module with valuable information so that the identity of a user can be estimated. With an estimate of the position of a target in 3-D and the target's identity, applications such as individualized computer programs or graphics techniques to distort and/or morph the shape or apparent material properties of the user's face can be performed. The system can track and respond to a user's face in real-time using completely passive and non-invasive techniques.
Abstract translation: 来自计算机视觉和计算机图形学的技术被组合以鲁棒地跟踪目标（例如，用户）并且基于归因于目标的脸部的图像和/或身份执行功能。 三个主要模块用于跟踪用户的头部：深度估计，颜色分割和模式分类。 尽管未知背景，拥挤状况以及用户快速变化的姿势或表情，这三种技术的组合也可以实现强大的性能。 每个模块还可以提供具有有价值信息的身份分类模块，以便可以估计用户的身份。 通过估计目标在3D中的位置和目标的身份，可以执行诸如个性化计算机程序或图形技术之类的应用程序来扭曲和/或变形用户脸部的形状或表观材料属性。 该系统可以使用完全无源和非侵入性技术实时跟踪和响应用户的脸部。
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公开(公告)号：US08768071B2
公开(公告)日：2014-07-01
申请号：US13196249
申请日：2011-08-02
Applicant: Masayoshi Tsuchinaga , Mario Fritz , Trevor Darrell
Inventor： Masayoshi Tsuchinaga , Mario Fritz , Trevor Darrell
CPC classification number: G06K9/6857
Abstract: Methods for recognizing a category of an object are disclosed. In one embodiment, a method includes determining, by a processor, a preliminary category of a target object, the preliminary category having a confidence score associated therewith, and comparing the confidence score to a learning threshold. If the highest confidence score is less than the learning threshold, the method further includes estimating properties of the target object and generating a property score for one or more estimated properties, and searching a supplemental image collection for supplemental image data using the preliminary category and the one or more estimated properties. Robots programmed to recognize a category of an object by use of supplemental image data are also disclosed.
Abstract translation: 公开了用于识别对象的类别的方法。 在一个实施例中，一种方法包括由处理器确定目标对象的初始类别，初步类别具有与之相关联的置信度得分，并将置信度分数与学习阈值进行比较。 如果最高可信度得分小于学习阈值，则该方法还包括估计目标对象的属性并生成一个或多个估计属性的属性分数，以及使用初步类别搜索补充图像集合以获得补充图像数据，并且 一个或多个估计属性。 还公开了通过使用补充图像数据来编程来识别对象的类别的机器人。
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公开(公告)号：US06188777B1
公开(公告)日：2001-02-13
申请号：US09102101
申请日：1998-06-22
Applicant: Trevor Darrell , Gaile Gordon , Michael Harville , John Woodfill , Harlyn Baker
Inventor： Trevor Darrell , Gaile Gordon , Michael Harville , John Woodfill , Harlyn Baker
IPC: G06K900
CPC classification number: G06K9/00362
Abstract: Techniques from computer vision and computer graphics are combined to robustly track a target (e.g., a user) and perform a function based upon the image and/or the identity attributed to the target's face. Three primary modules are used to track a user's head: depth estimation, color segmentation, and pattern classification. The combination of these three techniques allows for robust performance despite unknown background, crowded conditions, and rapidly changing pose or expression of the user. Each of the modules can also provide an identity classification module with valuable information so that the identity of a user can be estimated. With an estimate of the position of a target in 3-D and the target's identity, applications such as individualized computer programs or graphics techniques to distort and/or morph the shape or apparent material properties of the user's face can be performed. The system can track and respond to a user's face in real-time using completely passive and non-invasive techniques.
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公开(公告)号：US20050162523A1
公开(公告)日：2005-07-28
申请号：US10762941
申请日：2004-01-22
Applicant: Trevor Darrell , Tom Yeh , Konrad Tollmar
Inventor： Trevor Darrell , Tom Yeh , Konrad Tollmar
CPC classification number: G06F17/30277 , G06F17/30864
Abstract: A mobile deixis device includes a camera to capture an image and a wireless handheld device, coupled to the camera and to a wireless network, to communicate the image with existing databases to find similar images. The mobile deixis device further includes a processor, coupled to the device, to process found database records related to similar images and a display to view found database records that include web pages including images. With such an arrangement, users can specify a location of interest by simply pointing a camera-equipped cellular phone at the object of interest and by searching an image database or relevant web resources, users can quickly identify good matches from several close ones to find an object of interest.
Abstract translation: 移动指示设备包括用于捕获图像的相机和耦合到相机和无线网络的无线手持设备，以将图像与现有数据库通信以找到相似的图像。 移动指示设备还包括耦合到该设备的处理器，以处理与类似图像相关的发现的数据库记录和显示器，以查看包括包括图像的网页的发现的数据库记录。 通过这样的布置，用户可以通过简单地将配备有相机的蜂窝电话指向感兴趣的对象并且通过搜索图像数据库或相关网络资源来指定感兴趣的位置，用户可以快速地从几个密切的识别符中找到良好的匹配，以找到 感兴趣的对象
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Patent Agency Ranking
公开(公告)号：US06661918B1
公开(公告)日：2003-12-09
申请号：US09453450
申请日：1999-12-03
Applicant: Gaile Gordon , Michael Harville , John Woodfill , Trevor Darrell
Inventor： Gaile Gordon , Michael Harville , John Woodfill , Trevor Darrell
IPC: G06K934
CPC classification number: G06K9/38 , G06T7/11 , G06T7/143 , G06T7/174 , G06T7/194 , G06T2207/10021 , G06T2207/10028 , G06T2207/20224
Abstract: Segmentation of background and foreground objects in an image is based upon the joint use of both range and color data. Range-based data is largely independent of color image data, and hence not adversely affected by the limitations associated with color-based segmentation, such as shadows and similarly colored objects. Furthermore, color segmentation is complementary to range measurement in those cases where reliable range data cannot be obtained. These complementary sets of data are used to provide a multidimensional background estimation. The segmentation of a foreground object in a given frame of an image sequence is carried out by comparing the image frames with background statistics relating to range and normalized color, using the sets of statistics in a complementary manner.
Abstract translation: 图像中背景和前景对象的分割基于范围和颜色数据的联合使用。 基于范围的数据在很大程度上与彩色图像数据无关，因此不受与基于颜色的分割（例如阴影和类似彩色对象）相关联的限制的不利影响。 此外，在不能获得可靠范围数据的情况下，颜色分割与范围测量是互补的。 这些互补的数据集用于提供多维背景估计。 图像序列的给定帧中的前景对象的分割是通过将图像帧与范围和归一化颜色相关的背景统计数据进行比较，使用互补的统计量集进行的。
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公开(公告)号：US07949186B2
公开(公告)日：2011-05-24
申请号：US11724571
申请日：2007-03-15
Applicant: Kristen Grauman , Trevor Darrell
Inventor： Kristen Grauman , Trevor Darrell
CPC classification number: G06K9/6269 , G06K9/4671 , G06K9/6212
Abstract: A method for classifying or comparing objects includes detecting points of interest within two objects, computing feature descriptors at said points of interest, forming a multi-resolution histogram over feature descriptors for each object and computing a weighted intersection of multi-resolution histogram for each object. An alternative embodiment includes a method for matching objects by defining a plurality of bins for multi-resolution histograms having various levels and a plurality of cluster groups, each group having a center, for each point of interest, calculating a bin index, a bin count and a maximal distance to the bin center and providing a path vector indicative of the bins chosen at each level. Still another embodiment includes a method for matching objects comprising creating a set of feature vectors for each object of interest, mapping each set of feature vectors to a single high-dimensional vector to create an embedding vector and encoding each embedding vector with a binary hash string.
Abstract translation: 用于分类或比较对象的方法包括检测两个对象内的感兴趣点，在所述兴趣点处计算特征描述符，为每个对象的特征描述符形成多分辨率直方图，并且计算每个对象的多分辨率直方图的加权交集 。 替代实施例包括一种用于通过为具有各种级别的多分辨率直方图和多个群集组定义多个分块来匹配对象的方法，每个群组具有针对每个兴趣点的中心，计算bin索引，bin计数 以及与仓中心的最大距离，并提供指示在每个级别选择的仓的路径向量。 另一个实施例包括一种用于匹配对象的方法，包括为每个感兴趣对象创建一组特征向量，将每组特征向量映射到单个高维向量以创建嵌入向量并且使用二进制散列字符串对每个嵌入向量进行编码 。
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公开(公告)号：US20070217676A1
公开(公告)日：2007-09-20
申请号：US11724571
申请日：2007-03-15
Applicant: Kristen Grauman , Trevor Darrell
Inventor： Kristen Grauman , Trevor Darrell
CPC classification number: G06K9/6269 , G06K9/4671 , G06K9/6212
Abstract: A method for classifying or comparing objects includes detecting points of interest within two objects, computing feature descriptors at said points of interest, forming a multi-resolution histogram over feature descriptors for each object and computing a weighted intersection of multi-resolution histogram for each object. An alternative embodiment includes a method for matching objects by defining a plurality of bins for multi-resolution histograms having various levels and a plurality of cluster groups, each group having a center, for each point of interest, calculating a bin index, a bin count and a maximal distance to the bin center and providing a path vector indicative of the bins chosen at each level. Still another embodiment includes a method for matching objects comprising creating a set of feature vectors for each object of interest, mapping each set of feature vectors to a single high-dimensional vector to create an embedding vector and encoding each embedding vector with a binary hash string.
Abstract translation: 用于分类或比较对象的方法包括检测两个对象内的感兴趣点，在所述兴趣点处计算特征描述符，为每个对象的特征描述符形成多分辨率直方图，并且计算每个对象的多分辨率直方图的加权交集 。 替代实施例包括一种用于通过为具有各种级别的多分辨率直方图和多个群集组定义多个分块来匹配对象的方法，每个群组具有针对每个兴趣点的中心，计算bin索引，bin计数 以及与仓中心的最大距离，并提供指示在每个级别选择的仓的路径向量。 另一个实施例包括一种用于匹配对象的方法，包括为每个感兴趣对象创建一组特征向量，将每组特征向量映射到单个高维向量以创建嵌入向量并且使用二进制散列字符串对每个嵌入向量进行编码 。
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公开(公告)号：US06343150B1
公开(公告)日：2002-01-29
申请号：US09199799
申请日：1998-11-25
Applicant: Trevor Darrell , Michele M. Covell
Inventor： Trevor Darrell , Michele M. Covell
IPC: G06K900
Abstract: A given point of interest in an image is defined by two properties, a local attribute, such as color, and a neighborhood function that describes a similarity pattern. The color value is not influenced by nearby background regions of the image, and functions as a descriptor for each location. The neighborhood function distinguishes locations of similar color from one another, by capturing patterns of change in the local color. The neighborhood function measures the similarity between the local color and colors at nearby points, and reduces the measured similarity values that lie beyond contrast boundaries. Through the computation of such a transform for points of interest in an image, corresponding points in other images can be readily identified.
Abstract translation: 图像中的给定兴趣点由两个属性，诸如颜色的局部属性以及描述相似性模式的邻域函数来定义。 颜色值不受图像的附近背景区域的影响，并且用作每个位置的描述符。 邻域功能通过捕获局部颜色的变化模式来区分相似颜色的位置。 邻域函数测量附近点的局部颜色和颜色之间的相似度，并减少超出对比边界的测量相似度值。 通过对图像中的兴趣点的这种变换的计算，可以容易地识别其他图像中的相应点。
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10.发明授权System for monitoring and alerting based on animal behavior in designated environments 有权基于指定环境中动物行为的监测和警报系统公开(公告)号：US08704668B1
公开(公告)日：2014-04-22
申请号：US11379268
申请日：2006-04-19
Applicant: Trevor Darrell , Anna Hagstrom
Inventor： Trevor Darrell , Anna Hagstrom
IPC: G08B23/00
CPC classification number: A01K29/005
Abstract: A system for monitoring and alerting based on animal behavior includes an apparatus to observe one or more animals using a sensor network, a processor to capture tracking information and to interpret animal state based on sensor observations, and a communication device to communicate alerts based on animal state.
Abstract translation: 基于动物行为的用于监测和警报的系统包括使用传感器网络观察一个或多个动物的装置，用于捕获跟踪信息并基于传感器观察来解释动物状态的处理器，以及基于动物来传达警报的通信装置 州。
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