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                            Library & Multimedia
 What are customers looking at?
NCJ Number
              305638

Author(s)
          Xiaoming Liu;
                        Nils Krahnstoever;
                        Ting Yu;
                        Peter Tu
Date Published

2007
Length
              6 pages
Annotation
              This article presents a system that detects and tracks both the location and gaze of shoppers in retail environments.
Abstract
              Computer vision approaches for retail applications can provide value far beyond the common domain of loss prevention. Gaining insight into the movement and behaviors of shoppers is of high interest for marketing, merchandizing, store operations and data mining. Of particular interest is the process of purchase decision making. What catches a customer’s attention? What products go unnoticed? What does a customer look at before making a final decision? Towards this goal this article presents a system that detects and tracks both the location and gaze of shoppers in retail environments. While networks of standard overhead store cameras are used for tracking the location of customers, small in-shelf cameras are used for estimating customer gaze. The presented system operates robustly in real-time and can be deployed in a variety of retail applications. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2005-IJ-CX-K060


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Award
        High Quality 3D Facial Images From Surveillance Video
    
  
  
Date Published: January 1, 2007
    
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