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    • 5. 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。