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Method and system for characterizing physical retail spaces by determining the demographic composition of people in the physical retail spaces utilizing video image analysis

机译:通过使用视频图像分析确定实体零售空间中人员的人口统计特征来表征实体零售空间的方法和系统

摘要

The present invention is a method and system for characterizing physical space based on automatic demographics measurement, using a plurality of means for capturing images and a plurality of computer vision technologies. The present invention is called demographic-based retail space characterization (DBR). Although the disclosed method is described in the context of retail space, the present invention can be applied to any physical space that has a restricted boundary. In the present invention, the physical space characterization can comprise various types of characterization depending on the objective of the physical space, and it is one of the objectives of the present invention to provide the automatic demographic composition measurement to facilitate the physical space characterization. The demographic classification and composition measurement of people in the physical space is performed automatically based on a novel usage of a plurality of means for capturing images and a plurality of computer vision technologies on the captured visual information of the people in the physical space. The plurality of computer vision technologies can comprise face detection, person tracking, body parts detection, and demographic classification of the people, on the captured visual information of the people in the physical space.
机译:本发明是一种使用多种用于捕获图像的装置和多种计算机视觉技术基于自动人口统计测量来表征物理空间的方法和系统。本发明被称为基于人口统计的零售空间表征(DBR)。尽管在零售空间的背景下描述了所公开的方法,但是本发明可以应用于具有受限边界的任何物理空间。在本发明中,根据物理空间的目的,物理空间表征可以包括各种类型的表征,并且本发明的目的之一是提供自动人口统计组成测量以促进物理空间表征。基于在物理空间中捕获的人的视觉信息上的用于捕获图像的多个装置和多种计算机视觉技术的新颖用法,自动执行物理空间中人的人口统计分类和组成测量。多种计算机视觉技术可以包括在物理空间中所捕获的人的视觉信息上的脸部检测,人跟踪,人的身体部位检测以及人的人口统计分类。

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