Invention Grant
US08380558B1 Method and system for analyzing shopping behavior in a store by associating RFID data with video-based behavior and segmentation data
有权
通过将RFID数据与基于视频的行为和分段数据相关联来分析商店中的购物行为的方法和系统
- Patent Title: Method and system for analyzing shopping behavior in a store by associating RFID data with video-based behavior and segmentation data
- Patent Title (中): 通过将RFID数据与基于视频的行为和分段数据相关联来分析商店中的购物行为的方法和系统
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Application No.: US11999717Application Date: 2007-12-06
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Publication No.: US08380558B1Publication Date: 2013-02-19
- Inventor: Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
- Applicant: Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
- Applicant Address: US PA State College
- Assignee: VideoMining Corporation
- Current Assignee: VideoMining Corporation
- Current Assignee Address: US PA State College
- Main IPC: G06Q10/00
- IPC: G06Q10/00 ; H04N5/225

Abstract:
The present invention is a method and system for analyzing shopping behavior by associating RFID data, such as tracking data by the RFID tag identifications, with video-based behavior and segmentation data, such as behavior analysis and demographic composition analysis of the customers, utilizing a plurality of means for sensing and using RFID tags, a plurality of means for capturing images, and a plurality of computer vision technologies. In the present invention, the association can further comprise the association of the RFID with the transaction data or any time-based measurement in the retail space. The analyzed shopping behavior in the present invention helps people to better understand business elements in a retail space. It is one of the objectives of the present invention to provide an automatic video-based segmentation of customers in the association with the RFID based tracking of the customers, 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 retail 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 retail space.
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