Skip to content
IJET International Journal of Engineering and Technology E-ISSN 2227-524X

Facial tracking in video transfer using watershed segmentation

Authors and Affiliations

  • Mayilvahanan P Professor
  • Purushothaman S Professor
  • Rajeswari P Professor

About this article

Download PDF

Abstract

This paper presents the implementation of watershed segmentation for facial tracking. It focuses on tracking face of human in a continuous video transfer. The database is obtained from internet resource. Tracking efficiency is 97.2%.

References

[1] W.Zhao, R.Chellappa, P.Phillips, A.Rosenfeld, Face Recognition: A Literature Survey. ACM Transactions, (2003), 399–458.

[2] R.Valenti and T.Gevers, Accurate eye center location and tracking using isopoda curvature, Intelligent Systems Lab Amsterdam University of Amsterdam, The Netherlands., (2008).

[3] H.Yang, L.Shao, F.Zheng, L.Wang, and Z.Song, Recent advances and trends in visual tracking: a review, Neuro computing, 74, 18, (2011), 3823–3831.

[4] P.Nesi, and R.Magnolfi, 1996, Tracking and Synthesizing Facial Motions with Dynamic Contours, Real-Time Imaging, 2, 2, 67–79. http://dx.doi.org/10.1006/rtim.1996.0008.

[5] J.Gauch, Image segmentation and analysis via multi-scale gradient watershed hierarchies, IEEE T-IP, 8, 1, (1999), 69-79.

View more references (5)

[6] M.Gleicher, Projective registration with difference decomposition, IEEE CVPR'97, (1997), 331-337.

[7] L.Vincent Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE T-PAMI, 13, 6, (1991), 583-589.

[8] Yan Tong, Yang Wang, Zhiwei Zhu, Qiang Ji, 2007, Robust facial feature tracking under varying face pose and facial expression, Pattern Recognition, 40, (2007), 3195–3208. http://dx.doi.org/10.1016/j.patcog.2007.02.021.

[9] Mau-Tsuen Yang and Shen-Yen Huang, Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home, Sensors 2014, 14, 14253-14277; doi:10.3390/s140814253. http://dx.doi.org/10.3390/s140814253.

[10] G.Prashanth Kumar and M.Shashidhara, Real Time Detection and Tracking of Human Face Using Skin Color Segmentation and Region Properties. International Journal of Signal Processing Systems 2, 2, (2014), 102-107, doi: 10.12720/ijsps. http://dx.doi.org/10.12720/ijsps.


How to Cite

P, M., S, P., & P, R. (2014). Facial tracking in video transfer using watershed segmentation. International Journal of Engineering and Technology, 3(4), 535-539. https://doi.org/10.14419/ijet.v3i4.3633