Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
: In this paper we extend previous work [Aubel00] and propose a muscle model suitable for computer graphics based on physiological and anatomical considerations. Muscle motion and ...
Dynamical shape priors are curical for level set-based nonrigid object tracking with noise, occlusions or background clutter. In this paper, we propose a level set tracking framew...
Action recognition is one of the most active research fields in computer vision. In this paper, we propose a novel method for classifying human actions in a series of image seque...
: In the post-crisis era new concepts are emerging, while some old and dysfunctional ones are being discarded. Strategy is about making series of decisions that drive corporate act...