Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
Using motion capture systems to animate humanlike figures still remains difficult when the movements are complex or need to be adapted to geometric constraints. We propose a new m...
Abstract—Becoming proficient in a sport requires significant investment in training. Wearable sensor devices can improve training due to the high level of mobility, ubiquity and...