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Method and system for recognizing employees in a physical space based on automatic behavior analysis

机译:基于自动行为分析的物理空间员工识别方法及系统

摘要

The present invention is a method and system for recognizing employees among the people in a physical space based on automatic behavior analysis of the people in a preferred embodiment. The present invention captures a plurality of input images of the people in the physical space by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the behavioral characteristics of the people for the employee recognition purpose. The behavior analysis can comprise a path analysis as one of the characterization methods. The path analysis collects a plurality of trip information for each tracked person during a predefined window of time. The trip information can comprise spatial and temporal attributes, such as coordinates of the person's position, trip time, trip length, and average velocity for each of the plurality of trips. Based on the employee recognition criteria applied to the trip information, the present invention distinguishes employees from non-employees during a predefined window of time. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the behavior of the people from the plurality of input images.
机译:在优选实施例中,本发明是一种基于人的自动行为分析来识别物理空间中的人中的雇员的方法和系统。本发明通过用于捕获图像的多个装置来捕获物理空间中的人的多个输入图像。本发明处理多个输入图像以便理解出于雇员识别目的的人的行为特征。行为分析可以包括路径分析作为表征方法之一。路径分析在预定义的时间窗口内为每个被跟踪人员收集多个行程信息。行程信息可以包括空间和时间属性,例如人的位置的坐标,行程时间,行程长度以及多个行程中的每个行程的平均速度。基于应用于行程信息的雇员识别标准,本发明在预定的时间段内将雇员与非雇员区分开。该过程基于多种计算机视觉技术的新颖用法,以根据多个输入图像分析人们的行为。

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