Methods and Apparatus for Automatically Tracking Moving Entities Entering and Exiting a Specified Region
    1.
    发明申请
    Methods and Apparatus for Automatically Tracking Moving Entities Entering and Exiting a Specified Region 有权
    自动跟踪进入和退出指定区域的移动实体的方法和装置

    公开(公告)号:US20080205703A1

    公开(公告)日:2008-08-28

    申请号:US12115186

    申请日:2008-05-05

    IPC分类号: G06K9/00

    摘要: Techniques for tracking entities using a single overhead camera are provided. A foreground region is detected in a video frame of the single overhead camera corresponding to one or more entities. It is determined if the foreground region is associated with an existing tracker. It is determined whether the detected foreground region is the result of at least one of a merger of two or more smaller foreground regions having corresponding existing trackers and a split of a larger foreground region having a corresponding existing tracker when the detected foreground region is not associated with an existing tracker. The detected foreground region is tracked via at least one existing tracker when the foreground region is associated with an existing tracker or the foreground region is the result of at least one of a merger and a split.

    摘要翻译: 提供了使用单个架空照相机跟踪实体的技术。 在对应于一个或多个实体的单个架空摄像机的视频帧中检测到前景区域。 确定前景区域是否与现有跟踪器相关联。 确定检测到的前景区域是否是具有对应的现有跟踪器的两个或更多个更小的前景区域的合并中的至少一个的结果,以及当检测到的前景区域不相关联时具有相应的现有跟踪器的较大前景区域的分割的结果 与现有的跟踪器。 当前景区域与现有的跟踪器相关联时,经过至少一个现有跟踪器跟踪检测到的前景区域,或者前景区域是合并和拆分中的至少一个的结果。

    Methods for automatically tracking moving entities entering and exiting a specified region
    2.
    发明授权
    Methods for automatically tracking moving entities entering and exiting a specified region 有权
    自动跟踪进入和离开指定区域的移动实体的方法

    公开(公告)号:US07529388B2

    公开(公告)日:2009-05-05

    申请号:US12115186

    申请日:2008-05-05

    IPC分类号: G06K9/00 H04N5/225

    摘要: Techniques for tracking entities using a single overhead camera are provided. A foreground region is detected in a video frame of the single overhead camera corresponding to one or more entities. It is determined if the foreground region is associated with an existing tracker. It is determined whether the detected foreground region is the result of at least one of a merger of two or more smaller foreground regions having corresponding existing trackers and a split of a larger foreground region having a corresponding existing tracker when the detected foreground region is not associated with an existing tracker. The detected foreground region is tracked via at least one existing tracker when the foreground region is associated with an existing tracker or the foreground region is the result of at least one of a merger and a split.

    摘要翻译: 提供了使用单个架空照相机跟踪实体的技术。 在对应于一个或多个实体的单个架空摄像机的视频帧中检测到前景区域。 确定前景区域是否与现有跟踪器相关联。 确定检测到的前景区域是否是具有对应的现有跟踪器的两个或更多个更小的前景区域的合并中的至少一个的结果,以及当检测到的前景区域不相关联时具有相应的现有跟踪器的较大前景区域的分割的结果 与现有的跟踪器。 当前景区域与现有的跟踪器相关联时,经过至少一个现有跟踪器跟踪检测到的前景区域,或者前景区域是合并和拆分中的至少一个的结果。

    Methods and apparatus for automatically tracking moving entities entering and exiting a specified region
    3.
    发明授权
    Methods and apparatus for automatically tracking moving entities entering and exiting a specified region 有权
    自动跟踪进入和离开指定区域的移动实体的方法和装置

    公开(公告)号:US07409076B2

    公开(公告)日:2008-08-05

    申请号:US11140193

    申请日:2005-05-27

    IPC分类号: G06K9/00 H04N5/225

    摘要: Techniques for tracking entities using a single overhead camera are provided. A foreground region is detected in a video frame of the single overhead camera corresponding to one or more entities. It is determined if the foreground region is associated with an existing tracker. It is determined whether the detected foreground region is the result of at least one of a merger of two or more smaller foreground regions having corresponding existing trackers and a split of a larger foreground region having a corresponding existing tracker when the detected foreground region is not associated with an existing tracker. The detected foreground region is tracked via at least one existing tracker when the foreground region is associated with an existing tracker or the foreground region is the result of at least one of a merger and a split.

    摘要翻译: 提供了使用单个架空照相机跟踪实体的技术。 在对应于一个或多个实体的单个架空摄像机的视频帧中检测到前景区域。 确定前景区域是否与现有跟踪器相关联。 确定检测到的前景区域是否是具有对应的现有跟踪器的两个或更多个更小的前景区域的合并中的至少一个的结果,以及当检测到的前景区域不相关联时具有相应的现有跟踪器的较大前景区域的分割的结果 与现有的跟踪器。 当前景区域与现有的跟踪器相关联时,经过至少一个现有跟踪器跟踪检测到的前景区域,或者前景区域是合并和拆分中的至少一个的结果。

    Methods and apparatus for automatically tracking moving entities entering and exiting a specified region
    4.
    发明申请
    Methods and apparatus for automatically tracking moving entities entering and exiting a specified region 有权
    自动跟踪进入和离开指定区域的移动实体的方法和装置

    公开(公告)号:US20060269103A1

    公开(公告)日:2006-11-30

    申请号:US11140193

    申请日:2005-05-27

    IPC分类号: G06K9/00

    摘要: Techniques for tracking entities using a single overhead camera are provided. A foreground region is detected in a video frame of the single overhead camera corresponding to one or more entities. It is determined if the foreground region is associated with an existing tracker. It is determined whether the detected foreground region is the result of at least one of a merger of two or more smaller foreground regions having corresponding existing trackers and a split of a larger foreground region having a corresponding existing tracker when the detected foreground region is not associated with an existing tracker. The detected foreground region is tracked via at least one existing tracker when the foreground region is associated with an existing tracker or the foreground region is the result of at least one of a merger and a split.

    摘要翻译: 提供了使用单个架空照相机跟踪实体的技术。 在对应于一个或多个实体的单个架空摄像机的视频帧中检测到前景区域。 确定前景区域是否与现有跟踪器相关联。 确定检测到的前景区域是否是具有对应的现有跟踪器的两个或更多个更小的前景区域的合并中的至少一个的结果,以及当检测到的前景区域不相关联时具有相应的现有跟踪器的较大前景区域的分割的结果 与现有的跟踪器。 当前景区域与现有的跟踪器相关联时,经过至少一个现有跟踪器跟踪检测到的前景区域,或者前景区域是合并和拆分中的至少一个的结果。

    Low power and privacy preserving sensor platform for occupancy detection

    公开(公告)号:US11605231B2

    公开(公告)日:2023-03-14

    申请号:US16573499

    申请日:2019-09-17

    摘要: A low-cost, low-power, stand-alone sensor platform having a visible-range camera sensor, a thermopile array, a microphone, a motion sensor, and a microprocessor that is configured to perform occupancy detection and counting while preserving the privacy of occupants. The platform is programmed to extract shape/texture from images in spatial domain; motion from video in time domain; and audio features in frequency domain. Embedded binarized neural networks are used for efficient object of interest detection. The platform is also programmed with advanced fusion algorithms for multiple sensor modalities addressing dependent sensor observations. The platform may be deployed for (i) residential use in detecting occupants for autonomously controlling building systems, such as HVAC and lighting systems, to provide energy savings, (ii) security and surveillance, such as to detect loitering and surveil places of interest, (iii) analyzing customer behavior and flows, (iv) identifying high performing stores by retailers.

    LOW POWER AND PRIVACY PRESERVING SENSOR PLATFORM FOR OCCUPANCY DETECTION

    公开(公告)号:US20200089967A1

    公开(公告)日:2020-03-19

    申请号:US16573499

    申请日:2019-09-17

    摘要: A low-cost, low-power, stand-alone sensor platform having a visible-range camera sensor, a thermopile array, a microphone, a motion sensor, and a microprocessor that is configured to perform occupancy detection and counting while preserving the privacy of occupants. The platform is programmed to extract shape/texture from images in spatial domain; motion from video in time domain; and audio features in frequency domain. Embedded binarized neural networks are used for efficient object of interest detection. The platform is also programmed with advanced fusion algorithms for multiple sensor modalities addressing dependent sensor observations. The platform may be deployed for (i) residential use in detecting occupants for autonomously controlling building systems, such as HVAC and lighting systems, to provide energy savings, (ii) security and surveillance, such as to detect loitering and surveil places of interest, (iii) analyzing customer behavior and flows, (iv) identifying high performing stores by retailers.