Method and system for edge detection
    21.
    发明授权
    Method and system for edge detection 有权
    边缘检测方法和系统

    公开(公告)号:US08965054B2

    公开(公告)日:2015-02-24

    申请号:US14145098

    申请日:2013-12-31

    Abstract: A method executed by a computer system for detecting edges comprises receiving an image comprising a plurality of pixels, determining a phase congruency value for a pixel, where the phase congruency value comprises a plurality of phase congruency components, and determining if the phase congruency value satisfies a phase congruency criteria. If the phase congruency value satisfies the phase congruency criteria, the computer system categorizes the pixel as an edge pixel. If the phase congruency value does not satisfy the phase congruency criteria, the computer system compares a first phase congruency component of the plurality of phase congruency components to a phase congruency component criteria. If the first phase congruency component satisfies the phase congruency component criteria, the computer system categorizes the pixel as an edge pixel, and if the first phase congruency component does not satisfy the phase congruency component criteria, categorizes the pixel as a non-edge pixel.

    Abstract translation: 由计算机系统执行的用于检测边缘的方法包括:接收包括多个像素的图像,确定像素的相位一致值,其中相位一致值包括多个相位一致分量,以及确定相位一致值是否满足 阶段一致性标准。 如果相位一致值满足相位一致性标准,则计算机系统将像素分类为边缘像素。 如果相位一致值不满足相位一致性标准,则计算机系统将多个相位一致分量的第一相位一致分量与相位一致分量标准进行比较。 如果第一相位一致性分量满足相位一致分量标准,则计算机系统将像素分类为边缘像素,并且如果第一相位一致分量不满足相位一致分量标准,则将像素分类为非边缘像素。

    Increased quality of image objects based on depth in scene
    22.
    发明授权
    Increased quality of image objects based on depth in scene 有权
    基于场景深度提高图像对象的质量

    公开(公告)号:US08948533B2

    公开(公告)日:2015-02-03

    申请号:US14264921

    申请日:2014-04-29

    Abstract: Systems, methods, and software for operating an image processing system are provided herein. In a first example, a method of operating an image processing system is provided. The method includes identifying object pixels associated with an object of interest in a scene, identifying additional pixels to associate with the object of interest, and performing an operation based on a depth of the object in the scene on target pixels comprised of the object pixels and the additional pixels to change a quality of the object of interest.

    Abstract translation: 本文提供了用于操作图像处理系统的系统,方法和软件。 在第一示例中,提供了一种操作图像处理系统的方法。 该方法包括识别与场景中的感兴趣对象相关联的对象像素,识别与感兴趣对象相关联的附加像素,以及基于由对象像素组成的目标像素上的场景中的对象的深度来执行操作,以及 附加像素来改变感兴趣对象的质量。

    Method and System for Edge Detection
    24.
    发明申请
    Method and System for Edge Detection 有权
    边缘检测方法与系统

    公开(公告)号:US20140112541A1

    公开(公告)日:2014-04-24

    申请号:US14145098

    申请日:2013-12-31

    Abstract: A method executed by a computer system for detecting edges comprises receiving an image comprising a plurality of pixels, determining a phase congruency value for a pixel, where the phase congruency value comprises a plurality of phase congruency components, and determining if the phase congruency value satisfies a phase congruency criteria. If the phase congruency value satisfies the phase congruency criteria, the computer system categorizes the pixel as an edge pixel. If the phase congruency value does not satisfy the phase congruency criteria, the computer system compares a first phase congruency component of the plurality of phase congruency components to a phase congruency component criteria. If the first phase congruency component satisfies the phase congruency component criteria, the computer system categorizes the pixel as an edge pixel, and if the first phase congruency component does not satisfy the phase congruency component criteria, categorizes the pixel as a non-edge pixel.

    Abstract translation: 由计算机系统执行的用于检测边缘的方法包括:接收包括多个像素的图像,确定像素的相位一致值,其中相位一致值包括多个相位一致分量,以及确定相位一致值是否满足 阶段一致性标准。 如果相位一致值满足相位一致性标准,则计算机系统将像素分类为边缘像素。 如果相位一致值不满足相位一致性标准,则计算机系统将多个相位一致分量的第一相位一致分量与相位一致分量标准进行比较。 如果第一相位一致性分量满足相位一致分量标准,则计算机系统将像素分类为边缘像素,并且如果第一相位一致分量不满足相位一致分量标准,则将像素分类为非边缘像素。

    SYSTEMS AND METHODS FOR MANAGING AND DISPLAYING VIDEO SOURCES

    公开(公告)号:US20180367762A1

    公开(公告)日:2018-12-20

    申请号:US16111377

    申请日:2018-08-24

    CPC classification number: H04N7/181

    Abstract: A video system for video surveillance or video monitoring includes a video source, a video control system, and a video management system. The video management system is configured to receive configuration data and generate maps based on the configuration data, wherein at least one of the maps is associated with the video source. The video management system displays the map associated with the video source and displays a graphical symbol on the map which indicates the location of the video source. The video management system then receives a selection of the video source, receives information associated with the selected video source, and displays the received information.

    Trajectory matching across disjointed video views

    公开(公告)号:US10095954B1

    公开(公告)日:2018-10-09

    申请号:US13743635

    申请日:2013-01-17

    Abstract: Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides receiving a plurality of tagged trajectories that are tagged with an indicator of which trajectory pairs of the plurality of tagged trajectories are matching trajectory pairs and processing each of the trajectory pairs using each of a plurality of trajectory matching algorithms. The method further provides creating a model for matching trajectories based on the output of each of the plurality of trajectory matching algorithms for each of the pairs. The method further provides receiving a pair of trajectories and processing the pair of trajectories using each of the plurality of the trajectory matching algorithms. The method further provides processing the output of each of the plurality of the trajectory matching algorithms for the pair of trajectories using the model to determine whether the pair of trajectories is matching.

    Systems and methods for multi-pass adaptive people counting

    公开(公告)号:US09311541B2

    公开(公告)日:2016-04-12

    申请号:US14471182

    申请日:2014-08-28

    CPC classification number: G06K9/00778

    Abstract: People are counted in a segment of video with a video processing system that is configured with a first set of parameters. This produces a first output. Based on this first output, a second set of parameters is chosen. People are then counted in the segment of video using the second set of parameters. This produces a second output. People are counted with a video played forward. People are counted with a video played backwards. The results of these two counts are reconciled to produce a more accurate people count.

    Trajectory matching across disjointed video views
    28.
    发明授权
    Trajectory matching across disjointed video views 有权
    不相交视频观看的轨迹匹配

    公开(公告)号:US09160982B1

    公开(公告)日:2015-10-13

    申请号:US13743580

    申请日:2013-01-17

    Abstract: Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides identifying a first trajectory associated with an object in video captured of a first region. The method further provides identifying a plurality of alternative views of the object from the video of the first region. The method further provides generating additional views for inclusion in the plurality of alternative views by copying and horizontally flipping at least one view of the plurality of alternative views. The method further provides using the plurality of alternative views of the object, selecting a second trajectory that corresponds to the first trajectory from a plurality of trajectories associated with a plurality of objects in video captured of a second region.

    Abstract translation: 本文公开的实施例提供了用于在不相交的视频视图上匹配轨迹的系统和方法。 在特定实施例中,一种方法提供识别与第一区域捕获的视频中的对象相关联的第一轨迹。 该方法还提供从第一区域的视频识别对象的多个替代视图。 该方法进一步提供通过复制和水平翻转多个替代视图的至少一个视图来生成用于包含在多个备选视图中的附加视图。 该方法还提供使用对象的多个替代视图,从与第二区域的视频捕获的多个对象相关联的多个轨迹中选择对应于第一轨迹的第二轨迹。

    Systems and Methods for Multi-Pass Adaptive People Counting
    29.
    发明申请
    Systems and Methods for Multi-Pass Adaptive People Counting 有权
    多通道自适应人员计数的系统和方法

    公开(公告)号:US20140369565A1

    公开(公告)日:2014-12-18

    申请号:US14471182

    申请日:2014-08-28

    CPC classification number: G06K9/00778

    Abstract: People are counted in a segment of video with a video processing system that is configured with a first set of parameters. This produces a first output. Based on this first output, a second set of parameters is chosen. People are then counted in the segment of video using the second set of parameters. This produces a second output. People are counted with a video played forward. People are counted with a video played backwards. The results of these two counts are reconciled to produce a more accurate people count.

    Abstract translation: 人们被计入视频处理系统的一段视频处理系统,该视频处理系统配置了第一组参数。 这产生第一个输出。 基于该第一输出,选择第二组参数。 然后,使用第二组参数将人们计入视频段。 这产生第二个输出。 人们被视为播放的视频。 人们被视为播放的视频。 这两个计数的结果是协调一致的,以产生更准确的人数。

    Increased Quality of Image Objects Based on Depth in Scene
    30.
    发明申请
    Increased Quality of Image Objects Based on Depth in Scene 有权
    基于场景深度提高图像对象质量

    公开(公告)号:US20140233802A1

    公开(公告)日:2014-08-21

    申请号:US14264921

    申请日:2014-04-29

    Abstract: Systems, methods, and software for operating an image processing system are provided herein. In a first example, a method of operating an image processing system is provided. The method includes identifying object pixels associated with an object of interest in a scene, identifying additional pixels to associate with the object of interest, and performing an operation based on a depth of the object in the scene on target pixels comprised of the object pixels and the additional pixels to change a quality of the object of interest.

    Abstract translation: 本文提供了用于操作图像处理系统的系统,方法和软件。 在第一示例中,提供了一种操作图像处理系统的方法。 该方法包括识别与场景中的感兴趣对象相关联的对象像素,识别与感兴趣对象相关联的附加像素,以及基于由对象像素组成的目标像素上的场景中的对象的深度来执行操作,以及 附加像素来改变感兴趣对象的质量。

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