Post on 03-Apr-2018
transcript
7/28/2019 Real Time Tracking of Facial Features
1/18
REAL TIME TRACKING OF FACIAL
FEATURESbyABHISHEK KUMAR(REG. NO. 200912004)
ASEEM SINHA - (REG. NO. 200912018)
PRAVEEN KUMAR - (REG. NO. 200912071)
Under the Guidance of-
MRS. AMRITA BISWASAssociate Professor
EC Department
SMIT
Department of Electronics and Communication
Sikkim Manipal Institute of Technology
Majitar,Rangpo,East Sikkim-737136
7/28/2019 Real Time Tracking of Facial Features
2/18
CONTENTS
Objective
Motivation
Difficulties
Introduction
Implementation
Results
Applications
Limitations Conclusion
Future scope
7/28/2019 Real Time Tracking of Facial Features
3/18
OBJECTIVE
Detection of multiple faces from a still image.
Creating a mask in order to fit on the face.
Detection and features tracking of single facefrom video.
Detection and features tracking of multiple
faces from video.
7/28/2019 Real Time Tracking of Facial Features
4/18
MOTIVATION
The wide range of commercial and law
enforcement applications.
The availability of feasible technologies for
research and projects.
Current systems are still far away from the
capability to cope up with real time
applications.
7/28/2019 Real Time Tracking of Facial Features
5/18
DIFFICULTIES
Face Variation
Face position
Wearing glasses Low resolution images
7/28/2019 Real Time Tracking of Facial Features
6/18
INTRODUCTION
Face detection
It is the task of localizing faces in an input
image, is a fundamental part of any faceprocessing system. The extracted faces can
then be used for initializing face tracking or
automatic face recognition.
7/28/2019 Real Time Tracking of Facial Features
7/18
Face feature tracking
It is the process of locating a moving face or
several of them over a period of time and thenlocating facial features like eyes, nose and
mouth.
7/28/2019 Real Time Tracking of Facial Features
8/18
IMPLEMENTATION
7/28/2019 Real Time Tracking of Facial Features
9/18
CONTD
7/28/2019 Real Time Tracking of Facial Features
10/18
RESULTS
Actual image Processed image
7/28/2019 Real Time Tracking of Facial Features
11/18
RESULTS CONTD
Actual video frame Processed video frame
7/28/2019 Real Time Tracking of Facial Features
12/18
RESULTS CONTD
Actual video frame Processed video frame
7/28/2019 Real Time Tracking of Facial Features
13/18
APPLICATIONS
Access control
Identification systems
Biometrics Video surveillance
Human computer interface
7/28/2019 Real Time Tracking of Facial Features
14/18
LIMITATIONS
Due to bad lighting condition, tracking is
sometimes not possible.
Due to partially covered faces, tracking is not
possible.
Fully rotated faces are not possible to track.
7/28/2019 Real Time Tracking of Facial Features
15/18
CONCLUSION
We proposed a modified method for
automatic fitting of a deformable face mask to
a previous unseen face.
By making mask we are able to fit this mask to
different input images and video.
The face model is built with the high and low
image resolution.
Successful implementation on multiple faces.
7/28/2019 Real Time Tracking of Facial Features
16/18
FUTURE SCOPE
Work can be done to link the project with
database for security purposes.
Further processing can be done for rotated
faces.
Further processing can be done for blurred
images and videos.
7/28/2019 Real Time Tracking of Facial Features
17/18
REFERENCES
P. Viola and M. Jones, Rapid Object Detection using a
Boosted Cascade of Simple Features, vol. 2, pp. 240-249,
2003.
J.G. Wang and E . Sung, Frontal view detection and facial
features extraction using color and morphological operations,
Pattern recognition letters, vol. 20, pp. 1053-1068, oct . 1999.
W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, Face
recognition: A literature survey, ACM Computing Surveys,
vol. 35, no. 4, pp. 399458, 2003.
Digital Image Processing Using MATLAB by Gonzalez,
Woods & Eddins, Prentice, pp.25-29.
7/28/2019 Real Time Tracking of Facial Features
18/18
THANK YOU!