AN INFANT FACIAL EXPRESSION RECOGNITION SYSTEM BASED ON MOMENT FEATURE EXTRACTION

C. Y. Fang, H. W. Lin, S. W. Chen

Abstract

This paper presents a vision-based infant surveillance system utilizing infant facial expression recognition software. In this study, the video camera is set above the crib to capture the infant expression sequences, which are then sent to the surveillance system. The infant face region is segmented based on the skin colour information. Three types of moments, namely Hu, R, and Zernike are then calculated based on the information available from the infant face regions. Since each type of moment in turn contains several different moments, given a single fifteen-frame sequence, the correlation coefficients between two moments of the same type can form the attribute vector of facial expressions. Fifteen infant facial expression classes have been defined in this study. Three decision trees corresponding to each type of moment have been constructed in order to classify these facial expressions. The experimental results show that the proposed method is robust and efficient. The properties of the different types of moments have also been analyzed and discussed.

References

  1. Doi, M., Inoue, H., Aoki, Y., and Oshiro, O., 2006. Video surveillance system for elderly person living alone by person tracking and fall detection, IEEJ Transactions on Sensors and Micromachines, Vol. 126, pp.457-463.
  2. Department of Health, Taipei City Government, 2007. http://www.health.gov.tw/.
  3. The State of Alaska, 2005. Unintentional infant injury in Alaska, Women's, Children's, and Family Health, Vol. 1, pp. 1-4, http://www.epi.hss.state.ak.us/mchepi/ pubs/facts/fs2005na_v1_18.pdf.
  4. Pal, P., Iyer, A. N., and Yantorno, R. E., 2006. Emotion detection from infant facial expressions and cries, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 2, pp. 14-19.
  5. Zhi, R., and Ruan, Q., 2008. A comparative study on region-based moments for facial expression recognition, The Proceedings of Congress on Image and Signal Processing, Vol. 2, pp. 600-604.
  6. Hu, M. K., 1962. Visual pattern recognition by moment invariants, IRE Transactions on Information Theory, Vol. 8, pp. 179-187.
  7. Liu, J., Liu, Y., and Yan, C., 2008. Feature extraction technique based on the perceptive invariability, Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Shandong, China, pp. 551-554.
  8. Alpaydin, E., 2004. Introduction to Machine Learning, Chapter 9, MIT Press, Massachusetts, U.S.A.
Download


Paper Citation


in Harvard Style

Y. Fang C., W. Lin H. and W. Chen S. (2010). AN INFANT FACIAL EXPRESSION RECOGNITION SYSTEM BASED ON MOMENT FEATURE EXTRACTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 313-318. DOI: 10.5220/0002814403130318


in Bibtex Style

@conference{visapp10,
author={C. Y. Fang and H. W. Lin and S. W. Chen},
title={AN INFANT FACIAL EXPRESSION RECOGNITION SYSTEM BASED ON MOMENT FEATURE EXTRACTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={313-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002814403130318},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - AN INFANT FACIAL EXPRESSION RECOGNITION SYSTEM BASED ON MOMENT FEATURE EXTRACTION
SN - 978-989-674-029-0
AU - Y. Fang C.
AU - W. Lin H.
AU - W. Chen S.
PY - 2010
SP - 313
EP - 318
DO - 10.5220/0002814403130318