Sciweavers

Share
ICIAP
2001
Springer

Recognition of Shape-Changing Hand Gestures Based on Switching Linear Model

10 years 1 days ago
Recognition of Shape-Changing Hand Gestures Based on Switching Linear Model
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes and motions of hands. Inference in the switching linear model is computationally intractable, and therefore the learning process cannot be performed via the exact EM(Expectation Maximization) algorithm. However, we present an approximate EM algorithm using a collapsing method in which some Gaussians are merged into a single Gaussian. Tracking is performed through the forward algorithm based on Kalman filtering and the collapsing method. We also present the regularized smoothing, which plays a role of reducing jump changes between the training sequences of state vectors to cope with complex-variable hand shapes. The recognition process is performed by the selection of a model with the maximum likelihood from some learned models while tracking is being performed. Experiments for several shape-changing hand gestu...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2001
Where ICIAP
Authors Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yoshiaki Shirai
Comments (0)
books