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    • 1. 发明申请
    • SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE
    • 跟踪和识别人的系统和方法
    • WO2013081750A1
    • 2013-06-06
    • PCT/US2012/062020
    • 2012-10-26
    • GENERAL ELECTRIC COMPANY
    • YU, TingTU, Peter, HenryGAO, DashanAKBAY, Kunter, SerefYAO, Yi
    • G06K9/62G06K9/00
    • G06K9/00362G06K9/00771G06K9/6218G06K9/6232G06K9/66G06T7/70
    • A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.
    • 提供跟踪和识别系统。 该系统包括基于计算机视觉的身份识别系统,其被配置为通过对各个人的外观签名模型的在线辨别学习来识别一个或多个人,而没有相应人员的先验知识。 基于计算机视觉的身份识别系统包括对一个或多个例程进行物理编码的存储器,当被执行时,它引起在未标记的跟踪样本之间构造成对约束的性能。 基于计算机视觉的身份识别系统还包括处理器,其被配置为接收从一个或多个人跟踪器收集的未标记的跟踪样本,并且经由一个或多个算法来执行存储在存储器中的例程,以构建未标记的跟踪样本之间的成对约束。
    • 4. 发明申请
    • APPARATUS AND METHOD FOR PREDICTING SOLAR IRRADIANCE VARIATION
    • 用于预测太阳辐射变化的装置和方法
    • WO2013096241A2
    • 2013-06-27
    • PCT/US2012/070232
    • 2012-12-18
    • GENERAL ELECTRIC COMPANY
    • YAO, YiTU, PeterCHANG, Ming-chingGUAN, LiTONG, Yan
    • G01W1/10
    • G01W1/10F24S50/00F24S2201/00H01L31/02021Y02E10/40Y02E10/50
    • An apparatus and method, as may be used for predicting solar irradiance variation, are provided. The apparatus may include a solar irradiance predictor processor (10) configured to process a sequence of images (e.g., sky images). The irradiance predictor processor may include a cloud classifier module (18) configured to classify respective pixels of an image of a cloud to indicate a solar irradiance-passing characteristic of at least a portion of the cloud. A cloud motion predictor (22) may be configured to predict motion of the cloud over a time horizon. An event predictor (24) may be configured to predict over the time horizon occurrence of a solar obscuration event. The prediction of the solar obscuration event may be based on the predicted motion of the cloud. The event predictor may include an irradiance variation prediction for the obscuration event based on the solar irradiance-passing characteristic of the cloud.
    • 提供了可用于预测太阳辐照度变化的装置和方法。 该装置可以包括被配置为处理图像序列(例如,天空图像)的太阳辐照度预测器处理器(10)。 辐照度预测器处理器可以包括云分类器模块(18),其被配置为对云的图像的各个像素进行分类,以指示云的至少一部分的太阳辐射通过特性。 云运动预测器(22)可以被配置为预测云在时间范围内的运动。 事件预测器(24)可以被配置为在太阳遮挡事件的时间范围内发生预测。 太阳遮蔽事件的预测可以基于云的预测运动。 事件预测器可以包括基于云的太阳辐射通过特性的遮蔽事件的辐照度变化预测。
    • 6. 发明公开
    • SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE
    • 系统在VERFAHREN ZUR PERSONENVERFOLGUNG UNDEREENENUNG
    • EP2786313A1
    • 2014-10-08
    • EP12784193.0
    • 2012-10-26
    • General Electric Company
    • YU, TingTU, Peter, HenryGAO, DashanAKBAY, Kunter, SerefYAO, Yi
    • G06K9/62G06K9/00
    • G06K9/00362G06K9/00771G06K9/6218G06K9/6232G06K9/66G06T7/70
    • A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.
    • 提供跟踪和识别系统。 该系统包括基于计算机视觉的身份识别系统,其被配置为通过对各个人的外观签名模型的在线辨别学习来识别一个或多个人,而没有相应人员的先验知识。 基于计算机视觉的身份识别系统包括对一个或多个例程进行物理编码的存储器,其在被执行时引起在未标记的跟踪样本之间构建成对约束的性能。 基于计算机视觉的身份识别系统还包括处理器,其被配置为接收从一个或多个人跟踪器收集的未标记的跟踪样本,并且经由一个或多个算法执行存储在存储器中的例程,以构建未标记的跟踪样本之间的成对约束。