Facial tracking in video transfer using watershed segmentation

 
 
 
  • Abstract
  • Keywords
  • References
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  • 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%.

     Keywords: Facial Tracking, Watershed Segmentation, Motion Estimation.


  • 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.
    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.

 

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Article ID: 3633
 
DOI: 10.14419/ijet.v3i4.3633




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