Xu Kele, Gábor Csapó Tamás, Roussel Pierre, Denby Bruce
Department of Engineering, Université Pierre et Marie Curie; Langevin Institute, ESPCI-ParisTech Paris, 75005, France
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary
J Acoust Soc Am. 2016 May;139(5):EL154. doi: 10.1121/1.4951024.
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.
通过在超声舌序列中使用基于图像相似性的方法，探索了轮廓跟踪自动重新初始化的可行性。为此，将重新初始化方法纳入当前最先进的舌跟踪算法中，并通过计算距离误差的平均总和，对不同算法进行了定量比较。结果表明，通过自动重新初始化，跟踪误差可以从平均5 - 6像素减少到约4像素，这一结果是通过使用大量手动标注的帧和相似性测量来提取轮廓而获得的，从而提高了性能。
