Video analytics for retail

Authors:
A. W. Senior;L. Brown;A. Hampapur;C.-F. Shu;Y. Zhai;R. S. Feris;Y.-L. Tian;S. Borger;C. Carlson
Affiliations:
IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA;IBM T. J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA
Venue:
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Year:
2007

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Abstract

We describe a set of tools for retail analytics based on a combination of video understanding and transaction-log. Tools are provided for loss prevention (returns fraud and cashier fraud), store operations (customer counting) and merchandising (display effectiveness). Results are presented on returns fraud and customer counting.