Browse > Article
http://dx.doi.org/10.12673/jant.2014.18.6.533

A Study on a Smart Digital Signage Using Bayesian Age Estimation Technique for the Next Generation Airport Service  

Kim, Chun-Ho (Department of Guided Rocket Systems PMO, Agency for Defense Development)
Lee, Dong Woo (Department of Avionics & Electronics, Korea Aerospace University)
Baek, Gyeong Min (Department of Avionics & Electronics, Korea Aerospace University)
Moon, Seong Yeop (Department of Avionics & Electronics, Korea Aerospace University)
Heo, Chan (Department of Computer Engineering, Korea Aerospace University)
Na, Jong Whoa (Department of Avionics & Electronics, Korea Aerospace University)
Ohn, Seung-Yup (Department of Computer Engineering, Korea Aerospace University)
Choi, Woo Young (Department of Electronics Engineering, Myongji University)
Publication Information
Journal of Advanced Navigation Technology / v.18, no.6, 2014 , pp. 533-540 More about this Journal
Abstract
We propose an age estimation-based smart digital signage for the next-generation airport service. The proposed system can recognize the face of the customer so that it can display the selective information. Using a webcam, the system captures the face of the customer and estimates the age of the customer by calculating the wrinkle density of the face and applying bayesian classifier. The developed age estimation method is tested with a face database for the performance evaluation. We expect the new digital signage may improve the satisfaction of customers of the airport business.
Keywords
Digital signage; Age estimation; Face detection; Airport service;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. E. Choi, Y. J. Lee, S. J. Lee, K. R. Park, and J. Kim, "Age estimation using a hierarchical classifier based on global and local facial features," Pattern Recognition, Vol. 44, No.6, pp. 1262-1281, Jun. 2011.   DOI
2 S. E. Choi, Age estimation using global and local features of face images, M.S. dissertation, Yonsei University, Seoul, Korea, 2010.
3 Y. Fu and T. S. Huang, "Age synthesis and estimation via faces : a survey," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No.11, pp.1955-1976, May. 2010.   DOI   ScienceOn
4 L. C. Kang, The age & sex classification technology based on robot vision sensor, Ph.D. dissertation, Busan University, Busan, Korea, 2009.
5 P. Refaeilzadeh, L. Tang and H. Liu, "Encyclopedia of database systems (cross-validation)," Springer US, pp. 532-538, 2009.
6 G. Xin, C. Ke and H. Xiaoguang, "An improved canny edge detection algorithm for color image," Industrial Informatics (INDIN), China, pp.113-117, Jul. 2012.
7 X. Jiang and Q. M. Liao, "Skin wrinkles analysis based on digital image processing," Wavelet Active Media Technology and Information Processing (ICWAMTIP), China, pp.50-53, Dec. 2012.
8 D. W. Lee, K. C. Ko, C. H. Kim, W. Y. Choi and J. W. Na, "A study on the smart digital signage using age recognition for the airport service improvement," The Journal of Korea Navigation Institute, Vol. 16, No. 3, pp526-535, Jun. 2012.   과학기술학회마을   DOI
9 The Color FERET Database[Internet]. Available: http://www.nist.gov/itl/iad/ig/colorferet.cfm
10 I. Nakamura and N. Ishido, "Digital signage revolution," Asahi Newspaper Publisher, pp. 35-38, Jun. 2009.
11 Y. Z. Lu, J. L. Zhou, and S. S. Yu, "A survey of face detection, extraction and recognition," Computing and Informatics, Vol. 22, No.2, pp. 163-195, Apr. 2003.