SYSTEMS AND METHODS FOR PROCESSING CROWD-SOURCED MULTIMEDIA ITEMS

    公开(公告)号:US20180246887A1

    公开(公告)日:2018-08-30

    申请号:US15908281

    申请日:2018-02-28

    CPC classification number: G06F16/438 G06F16/434

    Abstract: Systems, methods, and computer applications and media for gathering, categorizing, sorting, managing, reviewing and organizing large quantities of multimedia items across space and time and using crowd-sourcing resources are described. Various implementations may enable either public or private (e.g., internal to an organization) crowdsourcing of multimedia item gathering and analysis, including the gathering, analysis, lead-searching, and classification of digital still images and digital videos. Various implementations may allow a user, such as a law enforcement investigator, to consolidate all of the available multimedia items into one system, and quickly gather, sort, organize, and display the multimedia items based on location, time, content, or other parameters. Moreover, an investigator may be able to create crowd source tasks as he works with the multimedia items and utilize crowd source resources when he needs help.

    AUTOMATIC EXTRACTION OF SECONDARY VIDEO STREAMS

    公开(公告)号:US20200210711A1

    公开(公告)日:2020-07-02

    申请号:US16816002

    申请日:2020-03-11

    Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest, displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

    SYSTEM AND METHOD FOR HOME HEALTH CARE MONITORING
    5.
    发明申请
    SYSTEM AND METHOD FOR HOME HEALTH CARE MONITORING 审中-公开
    家庭卫生监护系统与方法

    公开(公告)号:US20160253802A1

    公开(公告)日:2016-09-01

    申请号:US15150456

    申请日:2016-05-10

    Abstract: A monitoring method and system are disclosed. In one embodiment, a method includes monitoring the health of a person in a home. The method includes capturing a video sequence from a first camera disposed within the home, including capturing two-dimensional image data for the video sequence; receiving depth data corresponding to the two-dimensional data, and associating the depth data with the video sequence as metadata; setting a plurality of events to monitor associated with the person, the events defined to include actions captured from the first camera, at least a first event including the person's body being in a particular bodily position and performing video content analysis on the video sequence to determine whether the events have occurred. The video content analysis includes automatically detecting a potential human object from the video sequence based on the two-dimensional image data; using the depth data to determine a size and bodily position of the potential human object; and based on the size of the potential object, confirming that the potential human object is an actual human, thereby confirming the potential human object as a target. The method further includes determining that the first event has occurred based on the determined bodily position of the target.

    Abstract translation: 公开了一种监视方法和系统。 在一个实施例中,一种方法包括监视家中的人的健康状况。 该方法包括从设置在家庭内的第一照相机捕获视频序列,包括捕获视频序列的二维图像数据; 接收对应于二维数据的深度数据,并将深度数据与视频序列相关联作为元数据; 设置多个事件以监视与人相关联的事件,所述事件被定义为包括从第一相机捕获的动作,至少包括人身体处于特定身体位置的第一事件,并对视频序列执行视频内容分析以确定 事件是否发生。 视频内容分析包括基于二维图像数据自动检测来自视频序列的潜在人物; 使用深度数据来确定潜在人类对象的大小和身体位置; 并且基于潜在对象的大小,确认潜在的人类对象是实际的人,从而确认潜在的人类对象为目标。 该方法还包括基于所确定的目标的身体位置确定第一事件已经发生。

    Automatic extraction of secondary video streams

    公开(公告)号:US11594031B2

    公开(公告)日:2023-02-28

    申请号:US17151292

    申请日:2021-01-18

    Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest, displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

    AUTOMATIC EXTRACTION OF SECONDARY VIDEO STREAMS

    公开(公告)号:US20210142070A1

    公开(公告)日:2021-05-13

    申请号:US17151292

    申请日:2021-01-18

    Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

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