Graphical model based facial feature point tracking in a vehicle environment

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

Coşar, Serhan and Çetin, Müjdat and Erçil, Aytül (2007) Graphical model based facial feature point tracking in a vehicle environment. In: Biennial on DSP for in-Vehicle and Mobile Systems, İstanbul, Turkey

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Facial feature point tracking is a research area that can be used in human-computer interaction (HCI), facial expression analysis, fatigue detection, etc. In this paper, a statistical method for facial feature point tracking is proposed. Feature point tracking is a challenging topic in case of uncertain data because of noise and/or occlusions. With this motivation, a graphical model that incorporates not only temporal information about feature point movements, but also information about the spatial relationships between such points is built. Based on this model, an algorithm that achieves feature point tracking through a video observation sequence is implemented. The proposed method is applied on 2D gray scale real video sequences taken in a vehicle environment and the superiority of this approach over existing techniques is demonstrated.

Item Type:Papers in Conference Proceedings
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:6566
Deposited By:Müjdat Çetin
Deposited On:30 Oct 2007 01:14
Last Modified:22 May 2019 12:08

Repository Staff Only: item control page