METHOD AND SYSTEM FOR DETECTING THAT AN OBJECT OF INTEREST HAS RE-ENTERED A FIELD OF VIEW OF AN IMAGING DEVICE
    13.
    发明申请
    METHOD AND SYSTEM FOR DETECTING THAT AN OBJECT OF INTEREST HAS RE-ENTERED A FIELD OF VIEW OF AN IMAGING DEVICE 审中-公开
    用于检测兴趣对象的方法和系统已经重新绘制成像装置的视野

    公开(公告)号:US20160231411A1

    公开(公告)日:2016-08-11

    申请号:US14619602

    申请日:2015-02-11

    CPC classification number: G01S3/7864 G06K9/00771 G06K2009/3291 G06T7/20

    Abstract: A mobile electronic device processes a sequence of images to identify and re-identify an object of interest in the sequence. An image sensor of the device, receives a sequence of images. The device detects an object in a first image as well as positional parameters of the device that correspond to the object in the first image. The device determines a range of positional parameters within which the object may appear in a field of view of the device. When the device detects that the object of interest exited the field of view it subsequently uses motion sensor data to determine that the object of interest has likely re-entered the field of view, it will analyze the current frame to confirm that the object of interest has re-entered the field of view.

    Abstract translation: 移动电子设备处理图像序列以识别并重新识别序列中的感兴趣对象。 设备的图像传感器接收图像序列。 设备检测第一图像中的对象以及与第一图像中的对象相对应的设备的位置参数。 设备确定对象可能在设备的视野中出现的位置参数的范围。 当设备检测到感兴趣的对象退出视野时,它随后使用运动传感器数据来确定感兴趣的对象可能重新进入视野,它将分析当前帧以确认感兴趣的对象 已重新进入视野。

    Video capture of multi-faceted documents
    15.
    发明授权
    Video capture of multi-faceted documents 有权
    视频捕获多面文件

    公开(公告)号:US09241102B2

    公开(公告)日:2016-01-19

    申请号:US13705771

    申请日:2012-12-05

    Abstract: A system captures or otherwise receives a video and uses the video to create an electronic file corresponding to a multi-faceted printed artifact, such as a multi-page document. When the system receives the video, it selects a set of some or all of the video's image frames, determines a frame quality for each frame in the set, and identifies a subset of the frames such that the frame quality of each frame in the subset satisfies one or more image quality criteria. The subset will include at least one frame for each facet of the multi-faceted printed artifact, such as a page of the document. The processor then automatically combines the subset of frames into a single electronic file.

    Abstract translation: 系统捕获或以其他方式接收视频,并使用该视频来创建对应于多面印刷工件的电子文件,例如多页文档。 当系统接收到视频时,它选择一组视频的图像帧中的一些或全部,确定该组中每个帧的帧质量,并且识别该帧的子集,使得该子集中的每个帧的帧质量 满足一个或多个图像质量标准。 该子集将包括多面印刷工件的每个面的至少一个框架,例如文档的页面。 然后,处理器将帧的子集自动组合成单个电子文件。

    VIDEO CAPTURE OF MULTI-FACETED DOCUMENTS
    16.
    发明申请
    VIDEO CAPTURE OF MULTI-FACETED DOCUMENTS 有权
    多媒体文件的视频捕获

    公开(公告)号:US20140152849A1

    公开(公告)日:2014-06-05

    申请号:US13705771

    申请日:2012-12-05

    Abstract: A system captures or otherwise receives a video and uses the video to create an electronic file corresponding to a multi-faceted printed artifact, such as a multi-page document. When the system receives the video, it selects a set of some or all of the video's image frames, determines a frame quality for each frame in the set, and identifies a subset of the frames such that the frame quality of each frame in the subset satisfies one or more image quality criteria. The subset will include at least one frame for each facet of the multi-faceted printed artifact, such as a page of the document. The processor then automatically combines the subset of frames into a single electronic file.

    Abstract translation: 系统捕获或以其他方式接收视频,并使用该视频来创建对应于多面印刷工件的电子文件,例如多页文档。 当系统接收到视频时,它选择一组视频的图像帧中的一些或全部,确定该组中每个帧的帧质量,并且识别该帧的子集,使得该子集中的每个帧的帧质量 满足一个或多个图像质量标准。 该子集将包括多面印刷工件的每个面的至少一个框架,例如文档的页面。 然后,处理器将帧的子集自动组合成单个电子文件。

    Method and system for detecting that an object of interest has re-entered a field of view of an imaging device

    公开(公告)号:US10042031B2

    公开(公告)日:2018-08-07

    申请号:US14619602

    申请日:2015-02-11

    Abstract: A mobile electronic device processes a sequence of images to identify and re-identify an object of interest in the sequence. An image sensor of the device, receives a sequence of images. The device detects an object in a first image as well as positional parameters of the device that correspond to the object in the first image. The device determines a range of positional parameters within which the object may appear in a field of view of the device. When the device detects that the object of interest exited the field of view it subsequently uses motion sensor data to determine that the object of interest has likely re-entered the field of view, it will analyze the current frame to confirm that the object of interest has re-entered the field of view.

    Human identity verification via automated analysis of facial action coding system features
    18.
    发明授权
    Human identity verification via automated analysis of facial action coding system features 有权
    通过脸部动作编码系统功能的自动分析进行人体身份验证

    公开(公告)号:US09594949B1

    公开(公告)日:2017-03-14

    申请号:US14840745

    申请日:2015-08-31

    CPC classification number: G06K9/00315 G06K9/00758 G06K9/623

    Abstract: A method, computer readable medium and apparatus for verifying an identity of an individual based upon facial expressions as exhibited in a query video of the individual are disclosed. The method includes receiving a reference video for each one of a plurality of different individuals, wherein a plurality of facial gesture encoders is extracted from at least one frame of the reference video describing one or more facial expressions of each one of the plurality of different individuals, receiving the query video, calculating a similarity score for the reference video for the each one of the plurality of different individuals based on an analysis that compares the plurality of facial gesture encoders of the at least one frame of the reference video for the each one of the plurality of different individuals to a plurality of facial gesture encoders extracted from at least one frame of the query video.

    Abstract translation: 公开了一种基于个人的查询视频中显示的基于面部表情来验证个人身份的方法,计算机可读介质和装置。 该方法包括接收多个不同个体中的每一个的参考视频,其中从描述多个不同个体中的每一个的一个或多个面部表情的参考视频的至少一个帧中提取多个面部手势编码器 接收查询视频,基于比较每个参考视频的至少一帧的多个面部手势编码器的分析,计算多个不同个体中的每个个体的参考视频的相似性得分 将所述多个不同个体的多个人脸手势编码器从所述查询视频的至少一个帧中提取出来。

    SYSTEM AND METHOD FOR LOW LIGHT DOCUMENT CAPTURE AND BINARIZATION WITH MULTIPLE FLASH IMAGES
    19.
    发明申请
    SYSTEM AND METHOD FOR LOW LIGHT DOCUMENT CAPTURE AND BINARIZATION WITH MULTIPLE FLASH IMAGES 有权
    用于低照度文件捕获的系统和方法以及具有多个闪存图像的二进制

    公开(公告)号:US20160337545A1

    公开(公告)日:2016-11-17

    申请号:US14713077

    申请日:2015-05-15

    Abstract: The embodiments include systems and methods for guiding a user to capture two flash images of a document page, and selectively fuse the images to produce a binary image of high quality and without loss of any content. Each individual image may have an FSR where the content is degraded/lost due to the flash light. The idea is to first guide the user to take two images such that there is no overlap of flash-spots in the document regions. The flash spots in both images are detected and assessed for quality and extent of degradation in both images. The image with lower degradation is chosen as the primary image and the other image as secondary, to minimize fusing artifacts. The region in secondary image corresponding to the FSR in the primary is aligned to the primary region using a multiscale alignment technique. The primary image and aligned FSR are binarized and fused in the vicinity of the flashspot in the primary using an intelligent technique that minimizes fusion boundary artifacts such as cutting of characters and words.

    Abstract translation: 这些实施例包括用于引导用户捕获文档页面的两个闪光图像的系统和方法,并且选择性地融合图像以产生高质量的二进制图像,而不损失任何内容。 每个单独的图像可能具有FSR,其中内容由于闪光灯而劣化/丢失。 这个想法是首先引导用户拍摄两个图像,使文档区域中没有闪点重叠。 检测和评估两个图像中的闪光斑点的质量和两个图像的退化程度。 选择具有较低降解的图像作为主图像,将另一图像作为次要图像,以最小化融合伪像。 使用多尺度对准技术将对应于初级中的FSR的次级图像中的区域与主区域对准。 主图像和对准的FSR被二进制化并融合在主要的闪点附近,使用最小化融合边界伪像(例如字符和字的切割)的智能技术。

    USING GESTURES TO TRAIN HAND DETECTION IN EGO-CENTRIC VIDEO
    20.
    发明申请
    USING GESTURES TO TRAIN HAND DETECTION IN EGO-CENTRIC VIDEO 审中-公开
    在EGO中央视频中使用手枪来探测手感

    公开(公告)号:US20160092726A1

    公开(公告)日:2016-03-31

    申请号:US14501250

    申请日:2014-09-30

    Abstract: A method, non-transitory computer readable medium, and apparatus for training hand detection in an ego-centric video are disclosed. For example, the method prompts a user to provide a hand gesture, captures the ego-centric video containing the hand gesture, analyzes the hand gesture in a frame of the ego-centric video to identify a set of pixels in the image corresponding to a hand region, generates a training set of features from the set of pixels that correspond to the hand region and trains a head-mounted video device to detect the hand in subsequently captured ego-centric video images based on the training set of features.

    Abstract translation: 公开了一种用于以自我为中心的视频来训练手检测的方法,非暂时性计算机可读介质和装置。 例如,该方法提示用户提供手势,捕获包含手势的以自我为中心的视频,分析以自我为中心的视频的帧中的手势,以识别对应于图像的图像中的一组像素 手区域从与手区域对应的像素集合中生成特征的训练集,并且训练头戴式视频设备,以基于特征的训练集来检测随后捕获的以自我为中心的视频图像中的手。

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