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    • 31. 发明申请
    • System And Method For Detecting, Tracking And Counting Human Objects of Interest
    • 用于检测,跟踪和计数人类对象的系统和方法
    • US20110286633A1
    • 2011-11-24
    • US13155466
    • 2011-06-08
    • Zhiqian WangWilliam C. Kastilahn
    • Zhiqian WangWilliam C. Kastilahn
    • G06K9/00
    • G06T7/2093G06K9/00771G06K9/209G06K9/3241G06K9/6201G06K9/6255G06K2009/3291G06T7/285G06T7/292G06T2207/10016G06T2207/10021G06T2207/30242
    • A method of identifying, tracking, and counting human objects of interest based upon at least one pair of stereo image frames taken by at least one image capturing device, comprising the steps of: obtaining said stereo image frames and converting each said stereo image frame to a rectified image frame using calibration data obtained for said at least one image capturing device; generating a disparity map based upon a pair of said rectified image frames; generating a depth map based upon said disparity map and said calibration data; identifying the presence or absence of said objects of interest from said depth map and comparing each of said objects of interest to existing tracks comprising previously identified objects of interest; for each said presence of an object of interest, adding said object of interest to one of said existing tracks if said object of interest matches said one existing track, or creating a new track comprising said object of interest if said object of interest does not match any of said existing tracks; updating each said existing track; and maintaining a count of said objects of interest in a given time period based upon said existing tracks created or modified during said given time period.
    • 一种基于由至少一个图像拍摄装置拍摄的至少一对立体图像帧来识别,跟踪和计数人感兴趣的对象的方法,包括以下步骤:获得所述立体图像帧并将每个所述立体图像帧转换为 使用为所述至少一个图像捕获装置获得的校准数据的整流图像帧; 基于一对所述整流图像帧生成视差图; 基于所述视差图和所述校准数据生成深度图; 从所述深度图识别所述感兴趣对象的存在或不存在,并将所述感兴趣对象中的每一个与包含先前识别的感兴趣对象的现有轨迹进行比较; 对于感兴趣对象的每个所述存在,将所述感兴趣对象添加到所述现有轨道之一,如果所述感兴趣对象与所述一个现有轨迹相匹配,或者如果所述感兴趣对象不匹配则创建包括所述感兴趣对象的新轨迹 任何所述现有轨道; 更新每个现有的轨道; 以及基于在所述给定时间段期间创建或修改的所述现有轨道,在给定时间段内保持所述感兴趣对象的计数。
    • 32. 发明授权
    • Traffic based labor allocation method and system
    • 以流量为基础的劳动分配方法和制度
    • US07987105B2
    • 2011-07-26
    • US11623229
    • 2007-01-15
    • Dave McNeillJim MartinPaige StoverGary DispensaIan HarrisEric GuanlaoAnurag Pande
    • Dave McNeillJim MartinPaige StoverGary DispensaIan HarrisEric GuanlaoAnurag Pande
    • G06F17/60
    • G06Q10/06G06Q10/0631G06Q10/063116G06Q10/1093G06Q30/0202
    • A method and system for distributing labor based upon determinations of traffic in a facility, such as a store. Daily traffic forecast information is obtained for each day within a given time period from a source of such information. Calendar and event information for the facility for each day within the given time period is determined. Baseline days are selected from historical traffic data, and baseline averages and percentages for a predetermined time interval are also selected. The distribution of traffic for each day within the given time period at each time interval is determined using the baseline percentages for each time interval. Labor data is distributed. Labor recommendations are provided at each time interval for the given time period based on the distribution of traffic for each day, and at least one of other user-defined workforce requirements. The results of any or all the these steps are displayed to a user.
    • 一种用于基于诸如商店的设施中的交通量的确定来分配劳动的方法和系统。 从这些信息来源的给定时间段内每天获得每日交通预测信息。 确定给定时间段内每天的设施的日历和事件信息。 从历史交通数据中选择基准日,并且还选择预定时间间隔的基线平均值和百分比。 使用每个时间间隔的基线百分比来确定每个时间间隔内给定时间段内每天的流量分布。 劳工数据分发。 根据每天的流量分布以及其他用户定义的劳动力要求中的至少一个,为给定时间段的每个时间间隔提供劳动建议。 任何或所有这些步骤的结果显示给用户。
    • 33. 发明申请
    • SYSTEM AND PROCESS FOR DETECTING, TRACKING AND COUNTING HUMAN OBJECTS OF INTEREST
    • 检测,跟踪和计数人类受益对象的系统和过程
    • US20090010490A1
    • 2009-01-08
    • US11773254
    • 2007-07-03
    • Zhiqian WangWilliam C. Kastilahn
    • Zhiqian WangWilliam C. Kastilahn
    • G06K9/00
    • G06T7/2093G06K9/00771G06K9/209G06K9/3241G06K9/6201G06K9/6255G06K2009/3291G06T7/285G06T7/292G06T2207/10016G06T2207/10021G06T2207/30242
    • A method of identifying, tracking, and counting human objects of interest based upon at least one pair of stereo image frames taken by at least one image capturing device, comprising the steps of: obtaining said stereo image frames and converting each said stereo image frame to a rectified image frame using calibration data obtained for said at least one image capturing device; generating a disparity map based upon a pair of said rectified image frames; generating a depth map based upon said disparity map and said calibration data; identifying the presence or absence of said objects of interest from said depth map and comparing each of said objects of interest to existing tracks comprising previously identified objects of interest; for each said presence of an object of interest, adding said object of interest to one of said existing tracks if said object of interest matches said one existing track, or creating a new track comprising said object of interest if said object of interest does not match any of said existing tracks; updating each said existing track; and maintaining a count of said objects of interest in a given time period based upon said existing tracks created or modified during said given time period.
    • 一种基于由至少一个图像拍摄装置拍摄的至少一对立体图像帧来识别,跟踪和计数人感兴趣的对象的方法,包括以下步骤:获得所述立体图像帧并将每个所述立体图像帧转换为 使用为所述至少一个图像捕获装置获得的校准数据的整流图像帧; 基于一对所述整流图像帧生成视差图; 基于所述视差图和所述校准数据生成深度图; 从所述深度图识别所述感兴趣对象的存在或不存在,并将所述感兴趣对象中的每一个与包含先前识别的感兴趣对象的现有轨迹进行比较; 对于感兴趣对象的每个所述存在,将所述感兴趣对象添加到所述现有轨道之一,如果所述感兴趣对象与所述一个现有轨迹相匹配,或者如果所述感兴趣对象不匹配则创建包括所述感兴趣对象的新轨迹 任何所述现有轨道; 更新每个现有的轨道; 以及基于在所述给定时间段期间创建或修改的所述现有轨道,在给定时间段内保持所述感兴趣对象的计数。
    • 34. 发明申请
    • TRAFFIC BASED LABOR ALLOCATION METHOD AND SYSTEM
    • 基于交通工具分配方法和系统
    • US20080172282A1
    • 2008-07-17
    • US11623229
    • 2007-01-15
    • Dave McNeillJim MartinPaige StoverGary DispensaIan HarrisEric GuanlaoAnurag Pande
    • Dave McNeillJim MartinPaige StoverGary DispensaIan HarrisEric GuanlaoAnurag Pande
    • G06F9/46
    • G06Q10/06G06Q10/0631G06Q10/063116G06Q10/1093G06Q30/0202
    • A method and system for distributing labor based upon determinations of traffic in a facility, such as a store. Daily traffic forecast information is obtained for each day within a given time period from a source of such information. Calendar and event information for the facility for each day within the given time period is determined. Baseline days are selected from historical traffic data, and baseline averages and percentages for a predetermined time interval are also selected. The distribution of traffic for each day within the given time period at each time interval is determined using the baseline percentages for each time interval. Labor data is distributed. Labor recommendations are provided at each time interval for the given time period based on the distribution of traffic for each day, and at least one of other user-defined workforce requirements. The results of any or all the these steps are displayed to a user.
    • 一种用于基于诸如商店的设施中的交通量的确定来分配劳动的方法和系统。 从这些信息来源的给定时间段内每天获得每日交通预测信息。 确定给定时间段内每天的设施的日历和事件信息。 从历史交通数据中选择基准日,并且还选择预定时间间隔的基线平均值和百分比。 使用每个时间间隔的基线百分比来确定每个时间间隔内给定时间段内每天的流量分布。 劳工数据分发。 根据每天的流量分布以及其他用户定义的劳动力要求中的至少一个,为给定时间段的每个时间间隔提供劳动建议。 任何或所有这些步骤的结果显示给用户。