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    • 51. 发明授权
    • Digital non-integer sample/hold implemented using virtual filtering
    • 使用虚拟过滤实现的数字非整数采样/保持
    • US07283076B1
    • 2007-10-16
    • US11478275
    • 2006-06-29
    • Lei DingJohn L. MelansonXaiofan FeiBruce Duewer
    • Lei DingJohn L. MelansonXaiofan FeiBruce Duewer
    • H03M3/00
    • H03H17/0685H03H17/0275H03H17/0614
    • A method and apparatus for implementing non-integer sample hold operations in a sigma-delta digital-to-analog converter system includes an interpolation filter, a polyphase filter circuit, and a modulator. The polyphase filter circuit is used to virtual upsample a digital input signal by a predetermined non-integer upsample ratio of a relatively large number. The polyphase filter circuit is formed of a long zero-order hold and a short FIR filter so that only several branches associated with the polyphase filter circuit corresponding to output samples immediately after a transition of the digital input signal is required to be calculated, thereby reducing the need to store a large number of filter coefficients and eliminating complex computations.
    • 用于在Σ-Δ数模转换器系统中实现非整数采样保持操作的方法和装置包括内插滤波器,多相滤波器电路和调制器。 多相滤波器电路用于以相对较大数量的预定非整数上采样比虚拟上采样数字输入信号。 多相滤波器电路由长零级保持和短FIR滤波器形成,使得仅需要计算与数字输入信号转换之后立即对应于输出样本的多相滤波器电路相关联的多个分支,从而减少 需要存储大量的滤波器系数并消除复杂的计算。
    • 57. 发明授权
    • Activity determination as function of transaction log
    • 活动确定作为事务日志的功能
    • US08610766B2
    • 2013-12-17
    • US12890007
    • 2010-09-24
    • Lei DingQuanfu FanArun HampapurSharathchandra U. Pankanti
    • Lei DingQuanfu FanArun HampapurSharathchandra U. Pankanti
    • G06K9/00H04N7/18
    • G06K9/6284G06K9/00335G06K9/00771G08B13/19613
    • Human behavior alerts are determined from a video stream through application of video analytics that parse a video stream into a plurality of segments, wherein each of the segments are either temporally related to at least one of a plurality of temporally distinct transactions in an event data log; or they are each associated with a pseudo transaction marker if not temporally related to at least one of the temporally distinct transactions and an image analysis indicates a temporal correlation with at least one of the distinct transactions is expected. Visual image features are extracted from the segments and one-SVM classification is performed on the extracted features to categorize segments into inliers or outliers relative to a threshold boundary. Event of concern alerts are issued with respect to the inlier segments associated with the associated pseudo transaction marker.
    • 通过应用将视频流解析成多个段的视频分析从视频流确定人的行为警报,其中每个段在时间上与事件数据日志中的多个时间上不同的事务中的至少一个相关 ; 或者如果与时间上不同的交易中的至少一个时间上不相关,并且图像分析指示与至少一个不同交易的时间相关性,则它们都与伪交易标记相关联。 从段中提取视觉图像特征,并且对所提取的特征执行单SVM分类,以将段分类为相对于阈值边界的内联或异常值。 关于与相关联的伪交易标记相关联的不规则段发出关注警报的事件。
    • 60. 发明申请
    • ACTIVITY DETERMINATION AS FUNCTION OF TRANSACTION LOG
    • 作为交易日志功能的活动决定
    • US20120075450A1
    • 2012-03-29
    • US12890007
    • 2010-09-24
    • Lei DingQuanfu FanArun HampapurSharathchandra U. Pankanti
    • Lei DingQuanfu FanArun HampapurSharathchandra U. Pankanti
    • G06K9/00H04N7/18
    • G06K9/6284G06K9/00335G06K9/00771G08B13/19613
    • Human behavior alerts are determined from a video stream through application of video analytics that parse a video stream into a plurality of segments, wherein each of the segments are either temporally related to at least one of a plurality of temporally distinct transactions in an event data log; or they are each associated with a pseudo transaction marker if not temporally related to at least one of the temporally distinct transactions and an image analysis indicates a temporal correlation with at least one of the distinct transactions is expected. Visual image features are extracted from the segments and one-SVM classification is performed on the extracted features to categorize segments into inliers or outliers relative to a threshold boundary. Event of concern alerts are issued with respect to the inlier segments associated with the associated pseudo transaction marker.
    • 通过应用将视频流解析成多个段的视频分析从视频流确定人的行为警报,其中每个段在时间上与事件数据日志中的多个时间上不同的事务中的至少一个相关 ; 或者如果与时间上不同的交易中的至少一个时间上不相关,并且图像分析指示与至少一个不同交易的时间相关性,则它们都与伪交易标记相关联。 从段中提取视觉图像特征,并且对所提取的特征执行单SVM分类,以将段分类为相对于阈值边界的内联或异常值。 关于与相关联的伪交易标记相关联的不规则段发出关注警报的事件。