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公开(公告)号：US11282249B2
公开(公告)日：2022-03-22
申请号：US16747511
申请日：2020-01-20
发明人： Chung-Ching Lin , Sharathchandra U. Pankanti , Karthikeyan Natesan Ramamurthy , Aleksandr Y. Aravkin , John R. Smith
摘要： A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.
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公开(公告)号：US10572976B2
公开(公告)日：2020-02-25
申请号：US15786735
申请日：2017-10-18
摘要： A system and method to enhance observation resolution using continuous learning include obtaining a first image of a surface area from a first satellite, and obtaining a second image of the surface area from a second satellite. The first image has a lower spatial resolution than the second image, and temporal resolution of the first images obtained by the first satellite is higher than temporal resolution of the second images obtained by the second satellite. The method also includes determining a convolution matrix A or training a neural network, obtaining additional one or more of the first images prior to obtaining an additional one of the second images, and generating a new image from each of the one or more of the first images using the convolution matrix A or the neural network. The new image has a higher spatial resolution than the one or more of the first images.
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公开(公告)号：US20190095719A1
公开(公告)日：2019-03-28
申请号：US16199283
申请日：2018-11-26
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：US20190050687A1
公开(公告)日：2019-02-14
申请号：US15673947
申请日：2017-08-10
CPC分类号： G06K9/6265 , G06K9/0063 , G06K9/4642 , G06K9/6212 , G06K9/6228 , G06K9/6256 , G06K9/6267
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：US10173776B2
公开(公告)日：2019-01-08
申请号：US15246777
申请日：2016-08-25
IPC分类号： B64D1/02 , B64D1/22 , G05D1/00 , G05D1/10 , G08G5/00 , B64C39/02 , B64D47/06 , B64D47/08 , G08G1/0955
摘要： An aerial drone is coupled to a warning sign for warning other vehicles of a presence of a faulty vehicle. The aerial drone is positioned at a location of the faulty vehicle, in response to detecting the faulty vehicle. The aerial drone assesses environmental conditions at the location of the faulty vehicle. An optimal position for positioning the warning sign is determined, based on the environmental conditions at the location of the faulty vehicle, and the aerial drone is positioned at the optimal position.
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公开(公告)号：US10169661B2
公开(公告)日：2019-01-01
申请号：US14665687
申请日：2015-03-23
摘要： Machine logic that pre-processes and post-processes images for visual object detection by performing the following steps: receiving a set of image(s); filtering the set of image(s) using a set of multimodal integral filter(s), thereby removing at least a portion of the set of image(s) and resulting in a filtered set of image(s); performing object detection on the filtered set of image(s) to generate a set of object-detected image(s); assembling a first plurality of object-detected image(s) from the set of object-detected image(s); and upon assembling the first plurality of object-detected image(s), performing non-maximum suppression on the assembled first plurality of object-detected image(s).
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公开(公告)号：US20170286779A1
公开(公告)日：2017-10-05
申请号：US15087236
申请日：2016-03-31
CPC分类号： G06K9/00778 , G06K9/00342 , G06K9/6277 , G06K9/72
摘要： A computer implemented method for detecting an object in a crowded scene utilizing an image capturing device. The method includes receiving an image of a predetermined area. From the image, the existence of selected portions as representing an entity of a selected class is determined. Each selected portion is assigned an initial confidence value that the selected portion is an entity representative of a selected class. Each selected portion is evaluated with each other to determine a context confidence value. The context confidence value and initial confidence value are utilized to determine which of the one or more selected portions are entities of a selected class.
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8.发明授权公开(公告)号：US09633263B2
公开(公告)日：2017-04-25
申请号：US13647645
申请日：2012-10-09
IPC分类号： H04N7/18 , G06K9/00 , G06K9/62 , G08B13/196
CPC分类号： G06K9/00771 , G06K9/6212 , G06T7/194 , G06T2207/20081 , G06T2207/30232 , G08B13/19613
摘要： An approach for re-identifying an object in a first test image is presented. Brightness transfer functions (BTFs) between respective pairs of training images are determined. Respective similarity measures are determined between the first test image and each of the training images captured by the first camera (first training images). A weighted brightness transfer function (WBTF) is determined by combining the BTFs weighted by weights of the first training images. The weights are based on the similarity measures. The first test image is transformed by the WBTF to better match one of the training images captured by the second camera. Another test image, captured by the second camera, is identified because it is closer in appearance to the transformed test image than other test images captured by the second camera. An object in the identified test image is a re-identification of the object in the first test image.
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公开(公告)号：US09633045B2
公开(公告)日：2017-04-25
申请号：US14994501
申请日：2016-01-13
CPC分类号： G06F17/30256 , G06F17/30277 , G06F17/3028 , G06F17/3053 , G06K9/00268 , G06K9/481 , G06K9/6263 , G06K9/66 , G06N99/005
摘要： Images are retrieved and ranked according to relevance to attributes of a multi-attribute query through training image attribute detectors for different attributes annotated in a training dataset. Pair-wise correlations are learned between pairs of the annotated attributes from the training dataset of images. Image datasets may are searched via the trained attribute detectors for images comprising attributes in a multi-attribute query. The retrieved images are ranked as a function of comprising attributes that are not within the query subset plurality of attributes but are paired to one of the query subset plurality of attributes by the pair-wise correlations, wherein the ranking is an order of likelihood that the different ones of the attributes will appear in an image with the paired one of the query subset plurality of attributes.
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公开(公告)号：US09471832B2
公开(公告)日：2016-10-18
申请号：US14276299
申请日：2014-05-13
发明人： Lei Ding , Quanfu Fan , Sharathchandra U. Pankanti
IPC分类号： G06K9/48 , G06K9/00 , G08B13/196
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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