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    Method and system for detecting that an object of interest has re-entered a field of view of an imaging device
    1.
    发明授权
    Method and system for detecting that an object of interest has re-entered a field of view of an imaging device 有权

    公开(公告)号：US10042031B2

    公开(公告)日：2018-08-07

    申请号：US14619602

    申请日：2015-02-11

    Applicant: Xerox Corporation

    Inventor： Jayant Kumar ,  Qun Li ,  Edgar A. Bernal ,  Raja Bala

    IPC: H04N5/225 ,  H04N5/228 ,  G01S3/786 ,  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.

    Human identity verification via automated analysis of facial action coding system features
    3.
    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

    Applicant: Xerox Corporation

    Inventor： Matthew Adam Shreve ,  Jayant Kumar ,  Qun Li ,  Edgar A. Bernal ,  Raja Bala

    IPC: G06K9/62 ,  G06K9/00 ,  G06K9/52

    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。

    AUTOMATIC VIDEO SYNCHRONIZATION VIA ANALYSIS IN THE SPATIOTEMPORAL DOMAIN
    4.
    发明申请
    AUTOMATIC VIDEO SYNCHRONIZATION VIA ANALYSIS IN THE SPATIOTEMPORAL DOMAIN 有权
    通过在SPATIOTEMPORAL域中的分析自动视频同步

    公开(公告)号：US20160337555A1

    公开(公告)日：2016-11-17

    申请号：US14712263

    申请日：2015-05-14

    Applicant: Xerox Corporation

    Inventor： Qun Li ,  Edgar A. Bernal

    IPC: H04N5/04 ,  H04N5/232 ,  H04N5/247

    CPC classification number: H04N5/04 ,  H04N5/23229 ,  H04N5/247 ,  H04N7/181

    Abstract: Methods and systems for automatically synchronizing videos acquired via two or more cameras with overlapping views in a multi-camera network. Reference lines within an overlapping field of view of the two (or more) cameras in the multi-camera network can be determined wherein the reference lines connect two or more pairs of corresponding points. Spatiotemporal maps of the reference lines can then be obtained. An optimal alignment between video segments obtained from the cameras is then determined based on the registration of the spatiotemporal maps.

    Abstract translation: 用于自动同步通过两个或多个摄像机获取的视频与多摄像机网络中的重叠视图的方法和系统。 可以确定多摄像机网络中的两个（或多个）照相机的重叠视野内的参考线，其中参考线连接两对或更多对对应点。 然后可以获得参考线的时空图。 然后基于时空映射的登记来确定从相机获得的视频片段之间的最佳对准。

    Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems
    5.
    发明授权
    Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems 有权
    用于离线训练用于视频路边停车场占用检测系统的特殊型驻车检测器的高效方法

    公开(公告)号：US09477892B2

    公开(公告)日：2016-10-25

    申请号：US14226078

    申请日：2014-03-26

    Applicant: Xerox Corporation

    Inventor： Wencheng Wu ,  Edgar A. Bernal ,  Yao Rong Wang ,  Robert P. Loce ,  Orhan Bulan

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06K9/52 ,  G06K9/32

    CPC classification number: G06K9/00785 ,  G06K9/3241 ,  G06K9/46 ,  G06K9/52 ,  G06K9/6256 ,  G06K9/6267 ,  G06K2009/4666

    Abstract: A method for training a vehicle detection system used in a street occupancy estimation of stationary vehicles. The method includes defining first and second areas on an image plane of an image capture device associated with monitoring for detection of vehicles. The method includes receiving video-data from a sequence of frames captured from the image capture device. The method includes determining candidate frames that include objects relevant to a classification task in the second area. The method includes extracting the objects from the candidate frames, extracting features of each extracted object, and assigning labels to the each extracted object. The method includes training at least one classifier using the labels and extracted features. The method includes using the at least one trained classifier to classify a stationary vehicle detected in the first area.

    Abstract translation: 一种在固定车辆的街道占用估计中使用的车辆检测系统的训练方法。 该方法包括在与用于检测车辆的监视相关联的图像捕获装置的图像平面上限定第一和第二区域。 该方法包括从从图像捕获设备捕获的帧序列中接收视频数据。 该方法包括确定包括与第二区域中的分类任务相关的对象的候选帧。 该方法包括从候选帧中提取对象，提取每个提取的对象的特征，以及为每个提取的对象分配标签。 该方法包括使用标签和提取的特征来训练至少一个分类器。 该方法包括使用至少一个经过训练的分类器对在第一区域中检测到的静止车辆进行分类。

    USING GESTURES TO TRAIN HAND DETECTION IN EGO-CENTRIC VIDEO
    6.
    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

    Applicant: Xerox Corporation

    Inventor： QUN LI ,  Jayant Kumar ,  Edgar A. Bernal ,  Raja Bala

    IPC: G06K9/00 ,  G02B27/01 ,  G06F3/01

    CPC classification number: G06K9/00355 ,  G02B27/017 ,  G02B2027/0138 ,  G02B2027/014 ,  G02B2027/0178 ,  G06F3/017 ,  G06K9/00134 ,  G06K9/0014 ,  G06K9/00147 ,  G06K9/52 ,  G06K2209/05

    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。

    Robust and computationally efficient video-based object tracking in regularized motion environments
    8.
    发明授权
    Robust and computationally efficient video-based object tracking in regularized motion environments 有权
    在正则化的运动环境中，强大且计算效率高的基于视频的对象跟踪

    公开(公告)号：US09213901B2

    公开(公告)日：2015-12-15

    申请号：US14017360

    申请日：2013-09-04

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Wencheng Wu ,  Thomas F. Wade ,  Daniel Hann

    IPC: G06K9/00

    CPC classification number: G06K9/00771

    Abstract: A method and system for video-based object tracking includes detecting an initial instance of an object of interest in video captured of a scene being monitored and establishing a representation of a target object from the initial instance of the object. The dominant motion trajectory characteristic of the target object are then determined and a frame-by-frame location of the target object can be collected in order to track the target object in the video.

    Abstract translation: 一种用于基于视频的对象跟踪的方法和系统包括：检测被捕获的场景的视频的感兴趣对象的初始实例，并从对象的初始实例建立目标对象的表示。 然后确定目标对象的主要运动轨迹特征，并且可以收集目标对象的逐帧位置，以便跟踪视频中的目标对象。

    Automated vision-based clutter detector and notifier
    9.
    发明授权
    Automated vision-based clutter detector and notifier 有权
    自动化的基于视觉的杂波检测器和通知器

    公开(公告)号：US09213900B2

    公开(公告)日：2015-12-15

    申请号：US13911105

    申请日：2013-06-06

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Robert P. Loce ,  Wencheng Wu

    IPC: G06K9/00

    CPC classification number: G06K9/00771

    Abstract: A system and method of monitoring a customer space including obtaining visual data comprising image frames of the customer space over a period of time, defining a region of interest within the customer space, the region of interest corresponding to a portion of the customer space in which customers relocate objects, monitoring the region of interest for at least one predefined clutter condition, and generating a notification when the at least one predefined clutter condition is detected.

    Abstract translation: 一种监测客户空间的系统和方法，包括获得包括客户空间的图像帧的视觉数据，所述可视数据在一段时间内定义所述客户空间内的感兴趣区域，所述感兴趣区域与所述客户空间的一部分相对应， 客户重新定位对象，监视感兴趣区域至少一个预定义的杂波条件，以及当检测到至少一个预定义杂波条件时产生通知。

    STORE RESOURCE EVENT DETECTION
    10.
    发明申请
    STORE RESOURCE EVENT DETECTION 有权
    存储资源事件检测

    公开(公告)号：US20150310606A1

    公开(公告)日：2015-10-29

    申请号：US14672943

    申请日：2015-03-30

    Applicant: Xerox Corporation

    Inventor： Matthew A. Shreve ,  Michael C. Mongeon ,  Edgar A. Bernal ,  Robert P. Loce

    IPC: G06T7/00 ,  G06K9/00 ,  H04N7/18

    CPC classification number: H01L21/28556 ,  C23C16/00 ,  G06K2009/00738 ,  H01J37/32715 ,  H01L21/02252 ,  H01L21/02274 ,  H01L21/0228 ,  H01L21/0262 ,  H01L21/265 ,  H01L21/3065 ,  H01L21/31116 ,  H01L21/31138 ,  H01L21/32136 ,  H01L21/6833 ,  H04N7/181 ,  H04N7/188

    Abstract: A computer vision system (100) operates to monitor an environment (e.g., such as a restaurant, store or other retail establishment) including a resource located therein (e.g., such as a restroom, a dining table, a drink, condiment or supply dispenser, a trash receptacle or a tray collection rack). The system includes: an image source or camera (104) that supplies image data (130) representative of at least a portion of the environment monitored by the system, the portion including the resource therein; and an event detection device (102) including a data processor (112) and operative to detect an event involving the resource. Suitably, the event detection device is arranged to: (i) be selectively configurable by a user to define the event involving the resource; (ii) receive the image data supplied by the image source; (iii) analyze the received image data to detect the defined event; and (iv) output a notification in response to detecting the defined event.

    Abstract translation: 计算机视觉系统（100）用于监视包括位于其中的资源（例如，诸如洗手间，餐桌，饮料，调味品或供给分配器等）的环境（例如餐馆，商店或其他零售店） ，垃圾桶或托盘收集架）。 该系统包括：图像源或照相机（104），其提供表示由系统监视的环境的至少一部分的图像数据（130），该部分包括其中的资源; 以及包括数据处理器（112）并且可操作以检测涉及所述资源的事件的事件检测设备（102）。 适当地，事件检测装置被布置为：（i）由用户有选择地配置以定义涉及资源的事件; （ii）接收由图像源提供的图像数据; （iii）分析所接收的图像数据以检测所定义的事件; 以及（iv）响应于检测到所定义的事件而输出通知。

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