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
Link To Document :
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