Graphical model based facial feature point tracking in a vehicle environment

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

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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
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Müjdat Çetin
Date Deposited: 30 Oct 2007 01:14
Last Modified: 26 Apr 2022 08:43

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