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    System and method for detecting, tracking, and classifiying objects
    2.
    发明授权
    System and method for detecting, tracking, and classifiying objects 有权

    公开(公告)号：US10210397B2

    公开(公告)日：2019-02-19

    申请号：US15976522

    申请日：2018-05-10

    Applicant: AVIGILON FORTRESS CORPORATION

    Inventor： Don Madden ,  Ethan Shayne

    IPC: G06K9/00 ,  G08G1/015

    Abstract: The present disclosure provides for a method, device, and computer-readable storage medium for performing a method for discerning a vehicle at an access control point. The method including obtaining a video sequence of the access control point; detecting an object of interest from the video sequence; tracking the object from the video sequence to obtain tracked-object data; classifying the object to obtain classified-object data; determining that the object is a vehicle based on the classified-object data; and determining that the vehicle is present in a predetermined detection zone based on the tracked-object data.

    SYSTEMS AND METHODS FOR PROCESSING CROWD-SOURCED MULTIMEDIA ITEMS
    3.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING CROWD-SOURCED MULTIMEDIA ITEMS 审中-公开

    公开(公告)号：US20180246887A1

    公开(公告)日：2018-08-30

    申请号：US15908281

    申请日：2018-02-28

    Applicant: AVIGILON FORTRESS CORPORATION

    Inventor： Minwoo Park ,  Tae Eun Choe ,  W. Andrew Scanlon ,  M. Allison Beach ,  Gary W. Myers

    IPC: G06F17/30

    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.

    Video segmentation using statistical pixel modeling
    6.
    发明授权
    Video segmentation using statistical pixel modeling 有权
    视频分割采用统计像素建模

    公开(公告)号：US09020261B2

    公开(公告)日：2015-04-28

    申请号：US13886420

    申请日：2013-05-03

    Applicant: ObjectVideo, Inc.

    Inventor： Alan J. Lipton ,  Niels Haering ,  Zeeshan Rasheed ,  Omar Javed ,  Zhong Zhang ,  Weihong Yin ,  Peter L. Venetianer ,  Gary W. Myers

    IPC: G06K9/34 ,  G06T7/00 ,  G06K9/00 ,  G06K9/38

    CPC classification number: G06T7/0081 ,  G06K9/00771 ,  G06K9/38 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10016

    Abstract: A method for segmenting video data into foreground and background portions utilizes statistical modeling of the pixels. A statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared with the background statistical model for that pixel. Pixels are determined to be foreground or background based on the comparisons. The method for segmenting video data may be further incorporated into a method for implementing an intelligent video surveillance system. The method for segmenting video data may be implemented in hardware.

    Abstract translation: 将视频数据分割成前景和背景部分的方法利用像素的统计建模。 为每个像素构建背景的统计模型，并将输入视频帧中的每个像素与该像素的背景统计模型进行比较。 基于比较将像素确定为前景或背景。 用于分割视频数据的方法可以进一步并入用于实现智能视频监控系统的方法。 用于分割视频数据的方法可以以硬件实现。

    Automatic extraction of secondary video streams
    7.
    发明授权
    Automatic extraction of secondary video streams 有权

    公开(公告)号：US11594031B2

    公开(公告)日：2023-02-28

    申请号：US17151292

    申请日：2021-01-18

    Applicant: AVIGILON FORTRESS CORPORATION

    Inventor： W. Andrew Scanlon ,  Andrew J. Chosak ,  John I. W. Clark ,  Robert A. Cutting ,  Alan J. Lipton ,  Gary W. Myers

    IPC: G06V20/40 ,  H04N19/17 ,  H04N19/20 ,  G06V20/52 ,  G06K9/00 ,  H04N5/262 ,  G06T7/20 ,  H04N7/18

    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
    8.
    发明申请
    AUTOMATIC EXTRACTION OF SECONDARY VIDEO STREAMS 有权

    公开(公告)号：US20210142070A1

    公开(公告)日：2021-05-13

    申请号：US17151292

    申请日：2021-01-18

    Applicant: AVIGILON FORTRESS CORPORATION

    Inventor： W. Andrew Scanlon ,  Andrew J. Chosak ,  John I.W. Clark ,  Robert A. Cutting ,  Alan J. Lipton ,  Gary W. Myers

    IPC: G06K9/00 ,  H04N19/17 ,  H04N19/20 ,  H04N5/262 ,  G06T7/20 ,  H04N7/18

    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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