Traffic camera calibration update utilizing scene analysis
    1.
    发明授权
    Traffic camera calibration update utilizing scene analysis 有权
    使用场景分析的交通照相机校准更新

    公开(公告)号:US09185402B2

    公开(公告)日:2015-11-10

    申请号:US13868267

    申请日:2013-04-23

    Abstract: Methods and systems are disclosed for updating camera geometric calibration utilizing scene analysis. Geometric calibration parameters can be derived with respect to one or more cameras and selected reference points of interest identified from a scene acquired by one or more of such cameras. The camera geometric calibration parameters can be applied to image coordinates of the selected reference points of interest to provide real-world coordinates at a time of initial calibration of the camera(s). A subset of a video stream from the camera(s) can then be analyzed to identify features of a current scene captured by the camera(s) that match the selected reference points of interest and provide a current update of the camera geometric calibration parameters with respect to the current scene.

    Abstract translation: 公开了利用场景分析更新摄像机几何校准的方法和系统。 可以相对于从一个或多个这样的相机获取的场景中识别的一个或多个摄像机和所选择的感兴趣的参考点导出几何校准参数。 相机几何校准参数可以应用于所选择的参考点的图像坐标,以在相机的初始校准时提供真实世界坐标。 然后可以分析来自相机的视频流的子集,以识别由相机捕获的当前场景的特征,该特征匹配所选择的感兴趣的参考点,并且将相机几何校准参数的当前更新提供给 尊重当前场景。

    Obtaining user preferences using categories of images
    2.
    发明授权
    Obtaining user preferences using categories of images 有权
    使用图像类别获取用户偏好

    公开(公告)号:US09179043B2

    公开(公告)日:2015-11-03

    申请号:US13655516

    申请日:2012-10-19

    CPC classification number: H04N1/6013 H04N1/603

    Abstract: Methods and systems present, to a user, different versions of sample images. Each of the sample images is classified into at least one image-element category of multiple image-element categories. Such methods and systems request the user to select preferred versions of the sample images from the different versions of the sample images, and receive in response a user selection of preferred images. The methods and systems determine user-specific preferences for each of the image-element categories based on the user selection of the preferred images. The methods and systems receive an image-processing request relating to user images from the user, and classify the user images into the image-element categories. When processing the image-processing request, the methods and systems alter renditions of the user images according to the user-specific preferences for each image-element category.

    Abstract translation: 向用户呈现不同版本的样本图像的方法和系统。 每个样本图像被分类为多个图像元素类别的至少一个图像元素类别。 这样的方法和系统请求用户从样本图像的不同版本中选择样本图像的优选版本,并响应于用户选择优选图像来接收。 方法和系统基于用户对优选图像的选择来确定每个图像元素类别的用户特定偏好。 方法和系统从用户接收与用户图像相关的图像处理请求,并将用户图像分类为图像元素类别。 当处理图像处理请求时,方法和系统根据每个图像元素类别的用户特定偏好改变用户图像的再现。

    METHODS AND SYSTEMS FOR EVALUATION OF REMOTE WORKERS
    3.
    发明申请
    METHODS AND SYSTEMS FOR EVALUATION OF REMOTE WORKERS 审中-公开
    用于评估远程工作者的方法和系统

    公开(公告)号:US20140324555A1

    公开(公告)日:2014-10-30

    申请号:US13870003

    申请日:2013-04-25

    CPC classification number: G06Q10/06398 G06Q10/063112 H04L69/16

    Abstract: A method for evaluation of one or more remote workers is disclosed. The method includes publishing a set of tasks. The set of tasks includes a first subset of tasks and a second subset of tasks. The first subset of tasks is generated with a set of defined responses. The method further includes receiving a first subset of responses corresponding to the first subset of tasks from the one or more remote workers. The first subset of responses is then compared with the set of defined responses, and the one or more remote workers are analyzed based on the comparison.

    Abstract translation: 公开了一种用于评估一个或多个远程工作人员的方法。 该方法包括发布一组任务。 该组任务包括任务的第一子集和任务的第二子集。 使用一组定义的响应生成第一个任务子集。 所述方法还包括从所述一个或多个远程工作人员接收对应于所述第一子任务的响应的第一子集。 然后将响应的第一个子集与定义的响应集合进行比较,并且基于该比较分析一个或多个远程工作者。

    User preferences based on categories of images
    5.
    发明授权
    User preferences based on categories of images 有权
    基于图像类别的用户偏好设置

    公开(公告)号:US09363419B2

    公开(公告)日:2016-06-07

    申请号:US13891228

    申请日:2013-05-10

    Abstract: Methods and systems receive an image-processing request relating to user images from a user. Such methods and systems classify the user images into user-request image-element categories. Such methods and systems also retrieve previously stored user-specific preferences for the user-request image-element categories from a computer storage, when the previously stored user-specific preferences for the user-request image-element categories are maintained in the computer storage. However, when the previously stored user-specific preferences for the user-request image-element categories are not maintained in (are absent from) the computer storage, such methods and systems obtain additional user-specific preferences for the user-request image-element categories. Such methods and systems can then processes the image-processing request by altering renditions of the user images according to the previously stored user-specific preferences and/or the additional user-specific preferences.

    Abstract translation: 方法和系统从用户接收与用户图像有关的图像处理请求。 这样的方法和系统将用户图像分类为用户请求图像元素类别。 当在计算机存储器中维护用户请求图像元素类别的先前存储的用户特定偏好时,这样的方法和系统还从计算机存储器检索用于用户请求图像元素类别的先前存储的用户特定偏好。 然而,当先前存储的针对用户请求图像元素类别的用户特定偏好不保持在计算机存储器中(不存在)时,这样的方法和系统获得用户请求图像元素的附加用户特定偏好 类别。 这样的方法和系统然后可以根据先前存储的用户特定偏好和/或附加的用户特定偏好来改变用户图像的再现来处理图像处理请求。

    VIDEO-BASED TEACHER ASSISTANCE
    6.
    发明申请
    VIDEO-BASED TEACHER ASSISTANCE 有权
    基于视频的教师辅助

    公开(公告)号:US20150044657A1

    公开(公告)日:2015-02-12

    申请号:US13961139

    申请日:2013-08-07

    Abstract: A video-based teaching aid system and method. Video images are recorded of at least some of a plurality of people in a classroom setting by use of a video camera arrangement. Expressions of the people in the video images are identified by use of an expression recognition module configured to receive the video images from the video camera arrangement. The identified expressions of the people in the video images are correlated with at least one of an event or an outcome of an event occurring in a classroom setting by use of a correlation module. The results of the correlating are outputted by an output device.

    Abstract translation: 视频教学辅助系统及方法。 通过使用摄像机装置,在教室设置中记录多个人中的至少一些人的视频图像。 通过使用被配置为从摄像机装置接收视频图像的表情识别模块来识别视频图像中的人的表达。 所识别的视频图像中的人的表达与通过使用相关模块在课堂设置中发生的事件的事件或结果中的至少一个相关联。 相关的结果由输出装置输出。

    USER PREFERENCES BASED ON CATEGORIES OF IMAGES
    7.
    发明申请
    USER PREFERENCES BASED ON CATEGORIES OF IMAGES 有权
    基于图像类型的用户偏好

    公开(公告)号:US20140337348A1

    公开(公告)日:2014-11-13

    申请号:US13891228

    申请日:2013-05-10

    Abstract: Methods and systems receive an image-processing request relating to user images from a user. Such methods and systems classify the user images into user-request image-element categories. Such methods and systems also retrieve previously stored user-specific preferences for the user-request image-element categories from a computer storage, when the previously stored user-specific preferences for the user-request image-element categories are maintained in the computer storage. However, when the previously stored user-specific preferences for the user-request image-element categories are not maintained in (are absent from) the computer storage, such methods and systems obtain additional user-specific preferences for the user-request image-element categories. Such methods and systems can then processes the image-processing request by altering renditions of the user images according to the previously stored user-specific preferences and/or the additional user-specific preferences.

    Abstract translation: 方法和系统从用户接收与用户图像有关的图像处理请求。 这样的方法和系统将用户图像分类为用户请求图像元素类别。 当在计算机存储器中维护用户请求图像元素类别的先前存储的用户特定偏好时,这样的方法和系统还从计算机存储器检索用于用户请求图像元素类别的先前存储的用户特定偏好。 然而,当先前存储的针对用户请求图像元素类别的用户特定偏好不保持在计算机存储器中(不存在)时,这样的方法和系统获得用户请求图像元素的附加用户特定偏好 类别。 这样的方法和系统然后可以根据先前存储的用户特定偏好和/或附加的用户特定偏好来改变用户图像的再现来处理图像处理请求。

    METHOD AND SYSTEM FOR FACILITATING RETRIEVAL OF INFORMATION FROM IMAGES
    8.
    发明申请
    METHOD AND SYSTEM FOR FACILITATING RETRIEVAL OF INFORMATION FROM IMAGES 有权
    促进图像信息检索的方法和系统

    公开(公告)号:US20140321775A1

    公开(公告)日:2014-10-30

    申请号:US13870006

    申请日:2013-04-25

    Abstract: Disclosed embodiments relate to systems and methods for facilitating retrieval of information from an image. The one or more image characteristics are modified to degrade the original image. The degraded image is provided as a first task to at least one first remote worker, the first task corresponds to an activity of tagging one or more regions of interest in the degraded image by the at least one first remote worker. Further, one or more second images are generated based on the one or more tagged regions of interest and are provided as one or more second tasks to at least one second remote worker, the one or more second tasks correspond to an activity of retrieving information from the one or more second images.

    Abstract translation: 公开的实施例涉及用于便于从图像检索信息的系统和方法。 一个或多个图像特征被修改以降低原始图像。 将退化的图像作为第一任务提供给至少一个第一远程工作者,第一任务对应于由至少一个第一远程工作者标记劣化图像中的一个或多个感兴趣区域的活动。 此外,基于一个或多个标记的感兴趣区域生成一个或多个第二图像,并且被提供给至少一个第二远程工作者的一个或多个第二任务,所述一个或多个第二任务对应于从 一个或多个第二图像。

    OBTAINING USER PREFERENCES USING CATEGORIES OF IMAGES
    9.
    发明申请
    OBTAINING USER PREFERENCES USING CATEGORIES OF IMAGES 有权
    使用图像类获取用户首选项

    公开(公告)号:US20140111538A1

    公开(公告)日:2014-04-24

    申请号:US13655516

    申请日:2012-10-19

    CPC classification number: H04N1/6013 H04N1/603

    Abstract: Methods and systems present, to a user, different versions of sample images. Each of the sample images is classified into at least one image-element category of multiple image-element categories. Such methods and systems request the user to select preferred versions of the sample images from the different versions of the sample images, and receive in response a user selection of preferred images. The methods and systems determine user-specific preferences for each of the image-element categories based on the user selection of the preferred images. The methods and systems receive an image-processing request relating to user images from the user, and classify the user images into the image-element categories. When processing the image-processing request, the methods and systems alter renditions of the user images according to the user-specific preferences for each image-element category.

    Abstract translation: 向用户呈现不同版本的样本图像的方法和系统。 每个样本图像被分类为多个图像元素类别的至少一个图像元素类别。 这样的方法和系统请求用户从样本图像的不同版本中选择样本图像的优选版本,并响应于用户选择优选图像来接收。 方法和系统基于用户对优选图像的选择来确定每个图像元素类别的用户特定偏好。 方法和系统从用户接收与用户图像相关的图像处理请求,并将用户图像分类为图像元素类别。 当处理图像处理请求时,方法和系统根据每个图像元素类别的用户特定偏好改变用户图像的再现。

    Automatic training of a parked vehicle detector for large deployment
    10.
    发明授权
    Automatic training of a parked vehicle detector for large deployment 有权
    自动训练停放的车辆检测器进行大型部署

    公开(公告)号:US09542609B2

    公开(公告)日:2017-01-10

    申请号:US14172525

    申请日:2014-02-04

    CPC classification number: G06K9/00812 G06K9/00785 H04N7/183

    Abstract: Methods and systems for training a parked vehicle detector. Video data regarding one or more parking sites can be captured. Positive training samples can then be collected from the video data based on a combination of one or more automated computing methods and human-input auxiliary information. Additionally, negative training samples can be collected from the video data based on automated image analyses with respect to the captured video data. The positive training samples and the negative training samples can then be used to train, re-train or update one or more parked vehicle detectors with respect to the parking site(s) for use in managing parking at the parking site(s).

    Abstract translation: 训练停放车辆检测器的方法和系统。 可以捕获关于一个或多个停车位置的视频数据。 然后可以基于一个或多个自动计算方法和人工输入的辅助信息的组合从视频数据中收集积极的训练样本。 另外,可以基于针对所捕获的视频数据的自动图像分析从视频数据中收集负训练样本。 然后可以使用积极的训练样本和负面训练样本来训练,重新训练或更新一个或多个停放的车辆检测器相对于停车场用于管理停车场的停车位。

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