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Method and apparatus for detecting suspicious activity using video analysis from alternative camera viewpoint

机译:从替代摄像机视角使用视频分析检测可疑活动的方法和设备

摘要

A system performs video identification of items involved with transactions, as captured in video data, and compares this item identification information with transaction data obtained from a transaction terminal such as a point-of-sale register to identify situations that are suspicious and may indicate fraudulent activity or operator error. In particular, the system as disclosed herein utilizes unique camera positions, and can use video data from more than one camera, to perform robust detections of fraudulent or suspicious activities associated with transactions in the transaction area. By obtaining video data originating from at least one video camera that monitors a transaction area, the system can automatically (i.e. no human involvement needed) analyze the video data to track items involved in a transaction in the transaction area. Using this information, the system can compare the video analysis of the tracked items to transaction data produced from a transaction terminal to identify suspicious activity. The system can also create, update and maintain object models for items tracked in a transaction area, in part, to assist in identifying suspicious activity.
机译:系统执行视频数据中捕获的与交易有关的项目的视频标识,并将该项目标识信息与从交易终端(例如销售点寄存器)获得的交易数据进行比较,以识别可疑并可能表明欺诈的情况活动或操作员错误。特别地,本文公开的系统利用唯一的摄像机位置,并且可以使用来自一个以上摄像机的视频数据,以对与交易区域中的交易相关联的欺诈或可疑活动进行鲁棒的检测。通过获得源自至少一个监视交易区域的摄像机的视频数据,系统可以自动(即,无需人工干预)分析视频数据以跟踪交易区域中涉及交易的项目。使用此信息,系统可以将跟踪项目的视频分析与从交易终端产生的交易数据进行比较,以识别可疑活动。该系统还可以为交易区域中跟踪的项目创建,更新和维护对象模型,以部分地帮助识别可疑活动。

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