Paper
19 March 2013 Retail video analytics: an overview and survey
Jonathan Connell, Quanfu Fan, Prasad Gabbur, Norman Haas, Sharath Pankanti, Hoang Trinh
Author Affiliations +
Proceedings Volume 8663, Video Surveillance and Transportation Imaging Applications; 86630X (2013) https://doi.org/10.1117/12.2008899
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
Today retail video analytics has gone beyond the traditional domain of security and loss prevention by providing retailers insightful business intelligence such as store traffic statistics and queue data. Such information allows for enhanced customer experience, optimized store performance, reduced operational costs, and ultimately higher profitability. This paper gives an overview of various camera-based applications in retail as well as the state-ofthe- art computer vision techniques behind them. It also presents some of the promising technical directions for exploration in retail video analytics.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan Connell, Quanfu Fan, Prasad Gabbur, Norman Haas, Sharath Pankanti, and Hoang Trinh "Retail video analytics: an overview and survey", Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 86630X (19 March 2013); https://doi.org/10.1117/12.2008899
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CITATIONS
Cited by 13 scholarly publications and 3 patents.
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KEYWORDS
Analytics

Cameras

Video

Video surveillance

Machine vision

Computer vision technology

Data storage

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