Modélisation de visage par fusion d’information couleur dans le cadre de la théorie de l’évidence et suivi par filtrage particulaire Robust face tracking using color fusion and particle filter
نویسندگان
چکیده
This paper describes a real time face detection and tracking system. The method consists in modelling the skin face by a pixel fusion process of three colour sources within the framework of the Demster-Shafer theory. The algorithm is composed of two phases. In a simple and fast initialising stage, the user selects successively on an image, a shadowy, an overexposed and a zone of mean intensity of the face. Then the fusion process models the face skin colour. Next, on the video sequence, a tracking phase uses the key idea that the face exterior edges are well approximated as an ellipse including the skin colour blob resulting from the fusion process. As ellipse detection gets easily disturbed in cluttered environnements by edges caused by non-faces objects, a simple and fast efficient least square method for ellipse fitting is used. The ellipse parameters (center, minor axis, major axis, orintation) are taken into account by a stochastic algorithm using a particle filter in order to realise a robust face tracking in position, size and pose. The originality of the method consists in modelling the face skin by a pixel fusion process of three cognitive independant colour sources. Moreover, mass sets are determined from a priori models taking into account contextual variables specific to the face under study. Hence, the face particularity which is to present shadowy(neck) and overexposed zones (nose, front) is considered, so sensitivity to lighting conditions decreases. Results of face skin modelling, fusion, ellipse fitting and tracking are illustrated and discussed in this paper. The limits of the method and future works are also commented in conclusion.
منابع مشابه
Particle Filter-Based Visual Tracking by Fusing Multiple Cues with Context-Sensitive Reliabilities Suivi d’objet dans des séquences d’images par filtrage particulaire et fusion d’informations, prenant en compte leur fiabilité
Many researchers argue that fusing multiple cues increases the reliability and robustness of visual tracking. However, how the multi-cue integration is realized during tracking is still an open issue. In this work, we present a novel data fusion approach for multi-cue tracking using particle filter as the underlying framework. Our method differs from previous approaches in the following ways. F...
متن کاملRobust multi-target sensing/tracking in the Bayesian Occupancy Filter framework
We present the “Bayesian Occupancy Filter” (BOF) and the “Fast ClusteringTracking” algorithms as a framework for robust sensing and multi-target tracking using multiple sensors. Perceiving of the surrounding physical environment reliably is a major demanding in smart systems requiring a high level of safety such as car driving assistant, autonomous robots, and surveillance. The dynamic environm...
متن کاملفایل کامل مجلّه مطالعات زبان فرانسه دو فصلنامه علمی پژوهشی زبان فرانسه دانشکده زبانهای خارجی دانشگاه اصفهان
Tâ ÇÉÅ wx W|xâ Revue des Études de la Langue Française Revue semestrielle de la Faculté des Langues Étrangères de l'Université d'Ispahan Cinquième année, N° 8 Printemps-Eté 2013, ISSN 2008- 6571 ISSN électronique 2322-469X Cette revue est indexée dans: Ulrichsweb: global serials directory http://ulrichsweb.serialssolutions.com Doaj: Directory of Open Access Journals http://www.doaj.org ...
متن کاملStudy of Pneumothorax in Children: A Case Report
PNEUllOTHORAX DE L'ENFANT Presentation de 17 cas. Revue de la litterature Par: Marandian M.H., Momenzadhe A., Walizade G., Kabiri M., A'skari H. et Movasat M. Durant deux ans et demi, 17 cas de pneumothorax ont ete observes dans le service de Pediatrie de !'Hospital Pahlavi de l'Univm-site de Teheran: 1)9 de ces malades etaient ages de moins d'un an. Le malade le plus age atteint de pn...
متن کامل