Simultaneous Facial Feature Tracking and Facial Feature Recognition

Authors

  • Prof. B.B.Gite1, Utkarsha Saswadkar2, Prerna Om3, Abhijeet Singh4, Akshay Surwase5 Singhad Academy of Engineering, Pune, Dept of Computer Engineering, Pune University, Survey no 40, Kondhwa-Saswad Road, Pune,

Abstract

This paper presents the real time system interface between computer and human. We will be able to interact with the computer using facial expressions in real time with this fast and affordable technology. It will replace the mouse with the human face. Interactions take place using the eyes and the nose. We make use of Six Segment –Rectangular (SSR) filter, Integral Image and SVM for recognizing the facial features.
Key Words: Face detection, Face tracking, SSR filter, Integral Image, Support Vector Machine algorithm

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Published

2014-12-31

How to Cite

Akshay Surwase5, P. B. U. S. P. O. A. S. (2014). Simultaneous Facial Feature Tracking and Facial Feature Recognition. International Journal of Engineering Technology and Computer Research, 2(7). Retrieved from https://www.ijetcr.org/index.php/ijetcr/article/view/102

Issue

Vol. 2 No. 7 (2014)

Section

Articles

License

Creative Commons LicenseInternational Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.