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公开(公告)号：US20160034766A1
公开(公告)日：2016-02-04
申请号：US14884927
申请日：2015-10-16
CPC分类号： G06K9/00771 , G06K9/00993 , G06Q20/202 , H04N7/181 , H04N7/188
摘要： Transaction units of video data and transaction data captured from different checkout lanes are prioritized as a function of lane priority values of respective ones of the different checkout lanes from which the transaction units are acquired. Each of the checkout lanes has a different lane priority value. The individual transaction units are processed in the prioritized processing order to automatically detect irregular activities indicated by the transaction unit video and the transaction data of the processed individual transaction units.
摘要翻译： 从不同结算通道捕获的视频数据和交易数据的交易单元被优先考虑获取交易单元的不同结帐通道中各自的通道优先级值的函数。 每个结帐通道都有不同的车道优先级值。 以优先处理顺序处理单个交易单元，以自动检测由交易单元视频指示的不规则活动和处理的单个交易单元的交易数据。
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公开(公告)号：US20160078295A1
公开(公告)日：2016-03-17
申请号：US14948458
申请日：2015-11-23
CPC分类号： G06K9/00744 , G06K9/00718 , G06K9/00771 , G06K9/3241 , G06K9/6277 , G06K9/66 , G06T7/246 , G06T7/248 , G06T2207/10016 , G06T2207/30232
摘要： Alerts to object behaviors are prioritized for adjudication as a function of relative values of abandonment, foregroundness and staticness attributes. The attributes are determined from feature data extracted from video frame image data. The abandonment attribute indicates a level of likelihood of abandonment of an object. The foregroundness attribute quantifies a level of separation of foreground image data of the object from a background model of the image scene. The staticness attribute quantifies a level of stability of dimensions of a bounding box of the object over time. Alerts are also prioritized according to an importance or relevance value that is learned and generated from the relative abandonment, foregroundness and staticness attribute strengths.
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公开(公告)号：US20160188982A1
公开(公告)日：2016-06-30
申请号：US15059905
申请日：2016-03-03
CPC分类号： G06K9/00744 , G06K9/00718 , G06K9/00771 , G06K9/3241 , G06K9/6277 , G06K9/66 , G06T7/246 , G06T7/248 , G06T2207/10016 , G06T2207/30232
摘要： Alerts to object behaviors are prioritized for adjudication as a function of relative values of abandonment, foregroundness and staticness attributes. The attributes are determined from feature data extracted from video frame image data. The abandonment attribute indicates a level of likelihood of abandonment of an object. The foregroundness attribute quantifies a level of separation of foreground image data of the object from a background model of the image scene. The staticness attribute quantifies a level of stability of dimensions of a bounding box of the object over time. Alerts are also prioritized according to an importance or relevance value that is learned and generated from the relative abandonment, foregroundness and staticness attribute strengths.
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公开(公告)号：US20140328511A1
公开(公告)日：2014-11-06
申请号：US14023701
申请日：2013-09-11
CPC分类号： G06K9/3241 , G06K9/0063 , G06K9/00771
摘要： A method for summarizing image content from video images received from a moving camera includes detecting foreground objects in the images, determining moving objects of interest from the foreground objects, tracking the moving objects, rating movements of the tracked objects, and generating a list of highly rated segments within the video images based on the ratings.
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