A graphical model based solution to the facial feature point tracking problem

Warning The system is temporarily closed to updates for reporting purpose.

Coşar, Serhan and Çetin, Müjdat (2011) A graphical model based solution to the facial feature point tracking problem. Image and Vision Computing, 29 (5). pp. 335-350. ISSN 0262-8856

This is the latest version of this item.

PDF (This is a RoMEO green publisher -- author can archive pre-print (ie pre-refereeing)) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Official URL: http://dx.doi.org/10.1016/j.imavis.2010.12.001


In this paper a facial feature point tracker that is motivated by applications such as human-computer interfaces and facial expression analysis systems is proposed. The proposed tracker is based on a graphical model framework. The facial features are tracked through video streams by incorporating statistical relations in time as well as spatial relations between feature points. By exploiting the spatial relationships between feature points, the proposed method provides robustness in real-world conditions such as arbitrary head movements and occlusions. A Gabor feature-based occlusion detector is developed and used to handle occlusions. The performance of the proposed tracker has been evaluated on real video data under various conditions including occluded facial gestures and head movements. It is also compared to two popular methods, one based on Kalman filtering exploiting temporal relations, and the other based on active appearance models (AAM). Improvements provided by the proposed approach are demonstrated through both visual displays and quantitative analysis.

Item Type:Article
Uncontrolled Keywords:Facial feature tracking, Graphical models, Temporal and Spatial models, Occlusion detector, Human-Computer interaction, Facial expression analysis
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:16482
Deposited By:Müjdat Çetin
Deposited On:11 May 2011 10:10
Last Modified:29 Jul 2019 15:17

Repository Staff Only: item control page