The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy application...
Most of the methods for human motion tracking are based on the modeling of human dynamics in action execution. In even small example space of human activities, the variation in ac...
Abstract. Effective speakers engage their whole body when they gesture. It is difficult, however, to create such full body motion in animated agents while still supporting a large...
In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in ...
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models...