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Face Detection and Tracking in Video Sequence using Fuzzy Geometric Face Model and Motion Estimation

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 58 - Number 15
Year of Publication: 2012
P. S. Hiremath
Manjunath Hiremath
Mahesh R.

P S Hiremath, Manjunath Hiremath and Mahesh R.. Article: Face Detection and Tracking in Video Sequence using Fuzzy Geometric Face Model and Motion Estimation. International Journal of Computer Applications 58(15):12-16, November 2012. Full text available. BibTeX

	author = {P. S. Hiremath and Manjunath Hiremath and Mahesh R.},
	title = {Article: Face Detection and Tracking in Video Sequence using Fuzzy Geometric Face Model and Motion Estimation},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {58},
	number = {15},
	pages = {12-16},
	month = {November},
	note = {Full text available}


With advances in computing and telecommunications technologies, digital images and video are playing key roles in the present information era. Human face is an important biometric object in image and video databases of surveillance systems. Detecting and locating human faces and facial features in an image or image sequence are important tasks in dynamic environments, such as videos, where noise conditions, illuminations, locations of subjects and pose can vary significantly from frame to frame. In this paper, a novel approach of the detection and tracking of face in video sequence based on the fuzzy geometrical face model and motion estimation is presented. The feature extraction process is performed in the support region which is determined by the fuzzy rules to detect face in an image frame. Then, the consecutive frames from a video and their corresponding optical flow are estimated, which are used for tracking face in the video sequence. The experimental results demonstrate the efficacy of the proposed method.


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