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公开(公告)号：US08811674B2
公开(公告)日：2014-08-19
申请号：US14065593
申请日：2013-10-29
CPC分类号： G06T7/20 , G06K9/00208 , G06T7/251 , G06T13/20 , G06T17/00 , G06T19/006
摘要： A moving object tracked within a field of view environment of a two-dimensional data feed of a calibrated video camera is represented by a three-dimensional model. An appropriate three-dimensional mesh-based volumetric model for the object is initialized by using a back-projection of a corresponding two-dimensional image. A texture of the object is projected onto the three-dimensional model, and two-dimensional tracks of the object are upgraded to three-dimensional motion to drive a three-dimensional model.
摘要翻译： 在校准摄像机的二维数据馈送的视野环境内跟踪的移动物体由三维模型表示。 通过使用对应的二维图像的反投影来初始化用于对象的适当的基于三维网格的体积模型。 将对象的纹理投影到三维模型上，并将对象的二维轨迹升级为三维运动以驱动三维模型。
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公开(公告)号：US20140164306A1
公开(公告)日：2014-06-12
申请号：US13711685
申请日：2012-12-12
IPC分类号： G06N5/02
CPC分类号： G01W1/10 , G06T17/05 , G09B29/007
摘要： A computer generates a three dimensional map of a pathway area using a plurality of overhead images. The computer determines a forecasted weather pattern to occur in the pathway area. The computer analyzes the three dimensional map and the forecasted weather pattern to predict one or more violations of the pathway. The computer generates a priority for the one or more predicted violations of the pathway. The computer generates a plan for pathway management of the pathway area.
摘要翻译： 计算机使用多个架空图像生成路径区域的三维图。 计算机确定在路径区域中发生的预测天气模式。 计算机分析三维地图和预测的天气模式，以预测一个或多个违反路径的行为。 计算机为该路径的一个或多个预测的违规行为产生优先级。 计算机生成路径区域的路径管理计划。
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公开(公告)号：US20130266227A1
公开(公告)日：2013-10-10
申请号：US13900794
申请日：2013-05-23
发明人： Lei Ding , Quanfu Fan , Sharathchandra U. Pankanti
IPC分类号： G06K9/00
CPC分类号： G06K9/00335 , G06K9/00771 , G08B13/19613
摘要： Automated analysis of video data for determination of human behavior includes segmenting a video stream into a plurality of discrete individual frame image primitives which are combined into a visual event that may encompass an activity of concern as a function of a hypothesis. The visual event is optimized by setting a binary variable to true or false as a function of one or more constraints. The visual event is processed in view of associated non-video transaction data and the binary variable by associating the visual event with a logged transaction if associable, issuing an alert if the binary variable is true and the visual event is not associable with the logged transaction, and dropping the visual event if the binary variable is false and the visual event is not associable.
摘要翻译： 用于确定人类行为的视频数据的自动分析包括将视频流分割成多个离散的单独帧图像原语，其被组合成视觉事件，其可以包含作为假设的函数的关注活动。 通过将二进制变量设置为true或false作为一个或多个约束的函数来优化视觉事件。 视觉事件是根据相关的非视频交易数据和二进制变量进行处理的，通过将可视事件与记录的事务相关联，如果可关联，如果二进制变量为真，并且视觉事件不与记录的事务关联，则发出警报 ，并且如果二进制变量为false并且视觉事件不可关联，则丢弃视觉事件。
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公开(公告)号：US20130124514A1
公开(公告)日：2013-05-16
申请号：US13737075
申请日：2013-01-09
IPC分类号： G06F17/30
CPC分类号： G06F17/30277 , G06F17/16 , G06F17/30256 , G06F17/30265 , G06F17/30271 , G06F17/30528 , G06F17/3053 , G06F17/3069 , G06K9/00268 , G06K9/6228 , Y10S707/915
摘要： In response to a query of discernable facial attributes, the locations of distinct and different facial regions are estimated from face image data, each relevant to different attributes. Different features are extracted from the estimated facial regions from database facial images, which are ranked in base layer rankings by matching feature vectors to a base layer ranking sequence as a function of edge weights. Second-layer rankings define second-layer attribute vectors as combinations of the base-layer feature vectors and associated base layer parameter vectors for common attributes, which are matched to a second-layer ranking sequence as a function of edge weights. The images are thus ranked for relevance to the query as a function of the second-layer rankings.
摘要翻译： 响应于可辨别的面部属性的查询，根据与不同属性相关的面部图像数据来估计不同和不同面部区域的位置。 从来自数据库面部图像的估计面部区域提取不同的特征，其通过将特征向量与作为边缘权重的函数的基本层排序序列相匹配来排列在基本层排名中。 第二层次排列将第二层属性向量定义为用于公共属性的基本层特征向量和相关联的基本层参数向量的组合，其与作为边权重的函数的第二层排序序列匹配。 因此，图像作为第二层排名的函数被排列成与查询相关。
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公开(公告)号：US10956778B2
公开(公告)日：2021-03-23
申请号：US16292963
申请日：2019-03-05
摘要： A system, method and program product for implementing image recognition. A system is disclosed that includes a training system for generating a multi-feature multi-matcher fusion (MMF) predictor for scoring pairs of images, the training system having: a neural network configurable to extract a set of feature spaces at different resolutions based on a training dataset; and an optimizer that processes the training dataset, extracted feature spaces and a set of matcher functions to generate the MMF predictor having a series of weighted feature/matcher components; and a prediction system that utilizes the MMF predictor to generate a prediction score indicative of a match for a pair of images.
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公开(公告)号：US20200285914A1
公开(公告)日：2020-09-10
申请号：US16292963
申请日：2019-03-05
摘要： A system, method and program product for implementing image recognition. A system is disclosed that includes a training system for generating a multi-feature multi-matcher fusion (MMF) predictor for scoring pairs of images, the training system having: a neural network configurable to extract a set of feature spaces at different resolutions based on a training dataset; and an optimizer that processes the training dataset, extracted feature spaces and a set of matcher functions to generate the MMF predictor having a series of weighted feature/matcher components; and a prediction system that utilizes the MMF predictor to generate a prediction score indicative of a match for a pair of images.
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47.发明授权公开(公告)号：US10540569B2
公开(公告)日：2020-01-21
申请号：US15791801
申请日：2017-10-24
摘要： A face clustering system for video face clustering in a video sequence, the system including an inherent supervision summarization device configured to collect group-level supervision and instance level supervision within a same chunklet based on a user input of face images for a person, a discriminative projection learning device configured to embed group constraints of the group-level supervision into a transformed space, and configured to generate an embedding space from the original image feature space, and a clustering device, in the embedding space, configured to execute pair-wise based clustering to cluster the video images into different clusters with the instance level supervision collected by the inherent supervision summarization device.
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公开(公告)号：US10410091B2
公开(公告)日：2019-09-10
申请号：US15673947
申请日：2017-08-10
摘要： A computer-implemented method includes receiving one or more training images depicting one or more training geographical regions. One or more environmental characteristic (EC) values are determined for the training images. The EC values include at least one EC value for each of the training images. One or more models are generated for mapping an EC value of an image to a determination of whether an artifact is present in a geographical region depicted by the image, based on the EC values and based on knowledge of which of the training images depict training geographical regions having artifacts present. A new image is received depicting a new geographical region. The models are applied to the new image. A probability that a new artifact is present in the new geographical region depicted in the new image is determined, based on the applying the models to the new image.
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公开(公告)号：US10169664B2
公开(公告)日：2019-01-01
申请号：US15471595
申请日：2017-03-28
IPC分类号： G06K9/00 , G06T7/194 , G06K9/62 , G08B13/196
摘要： An approach for re-identifying an object in a test image is presented. Similarity measures between the test image and training images captured by a first camera are determined. The similarity measures are based on Bhattacharyya distances between feature representations of an estimated background region of the test image and feature representations of background regions of the training images. A transformed test image based on the Bhattacharyya distances has a brightness that is different from the test image's brightness, and matches a brightness of training images captured by a second camera. An appearance of the transformed test image resembles an appearance of a capture of the test image by the second camera. Another image included in test images captured by the second camera is identified as being closest in appearance to the transformed test image and another object in the identified other image is a re-identification of the object.
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公开(公告)号：US10106018B2
公开(公告)日：2018-10-23
申请号：US15335325
申请日：2016-10-26
摘要： A method, system and computer program product for shielding an operator of a vehicle from light, including determining a position of a light source based on the location of the vehicle and the current date and time. A line of sight between the light source and the eyes of the operator is determined, where the line of sight goes through a windshield of the vehicle that includes a plurality of pixels. One or more pixels in the line of sight are identified; and, one or more physical properties of the pixel(s) in the line of sight are modified.
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