title: A comparative study on the contour tracking algorithms in ultrasound tongue images with automatic re-initialization.
abstract: The feasibility of an automatic re-initialization of contour tracking is explored by using an image similarity-based method in the ultrasound tongue sequences. To this end, the re-initialization method was incorporated into current state-of-art tongue tracking algorithms, and a quantitative comparison was made between different algorithms by computing the mean sum of distances errors. The results demonstrate that with automatic re-initialization, the tracking error can be reduced from an average of 5-6 to about 4 pixels, a result obtained by using a large number of hand-labeled frames and similarity measurements to extract the contours, which results in improved performance.
authors.affiliation: Department of Engineering, Université Pierre et Marie Curie; Langevin Institute, ESPCI-ParisTech Paris, 75005, France kelele.xu@gmail.com.
authors.forename: Kele
authors.initials: K
authors.lastname: Xu
authors.affiliation: Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary csapot@tmit.bme.hu.
authors.forename: Tamás
authors.initials: T
authors.lastname: Gábor Csapó
authors.affiliation: Langevin Institute, ESPCI-ParisTech, Paris, 75005, France pierre.roussel@espci.fr.
authors.forename: Pierre
authors.initials: P
authors.lastname: Roussel
authors.affiliation: Tianjin University, Tianjin, 300000 China bruce.denby@upmc.fr.
authors.forename: Bruce
authors.initials: B
authors.lastname: Denby