• DocumentCode
    1781064
  • Title

    An intelligent image-based customer analysis service

  • Author

    Ting-Wei Lee ; Yen-Lin Chiu ; Yu-Shan Wu ; Heng-Sung Liu

  • Author_Institution
    Comput. Vision Group, Chunghwa Telecommun. Labs., Taoyuan, Taiwan
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The customer analysis can be applied widely in many situations, such as surveillance system, digital signage, store entrance, etc. In digital signage application, when customers are viewing ads, the system can automatically analyze multiple attributes of customers, including customer´s gender, age, height, viewing distance, the degree of interest and total number of visitors. The advertising companies or store owners can judge potential customers who might interest in some particular products and increase the probability of the products being purchased through those customer analysis data. Another application in the store entrance is to calculate the total number of customers, gender and age statistical results in each time interval. That significant information can be used not only to integrate with point of sale (POS) system for letting the customers has a relationship with their purchased products but also to make the staff arrangement more adequate. The important equipment used in this system is the RGB-D sensor (Xtion Pro Live) which can capture the 3D depth information and 2D color image simultaneously. According to the 3D depth information, the system can detect and track the human to get the viewing distance, height and total number of visitors. Then the 2D image recognition technology is adopted to detect the face from human contour region and to recognize their gender, age and attention time for degree of interest. Finally, the system returns the analysis results and statistical information to the advertising companies or store owners for providing a reference in their business strategy.
  • Keywords
    advertising data processing; age issues; consumer behaviour; gender issues; image colour analysis; image recognition; image sensors; statistical analysis; 2D color image; 2D image recognition technology; 3D depth information; POS system; RGB-D sensor; Xtion Pro Live; ad view; advertising companies; age statistical results; customer age; customer attributes; customer gender; customer height; customer viewing distance; digital signage application; human detection; human track; intelligent image-based customer analysis service; point of sale system; product probability; statistical information; Cameras; Computer architecture; Face; Face detection; Image color analysis; Image sequences; Three-dimensional displays; age; customer analysis; gender; image-based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/APNOMS.2014.6996534
  • Filename
    6996534