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...
Generally, Distributed video coding (DVC) schemes perform motion estimation at the decoder side, without the current frame being available. In order to generate the side-informati...
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
Shiloh L. Dockstader, Nikita S. Imennov, A. Murat ...
Abstract— Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should gener...
— Target tracking among obstacles is an interesting class of motion planning problems that combine the usual motion constraints with robot sensors’ visibility constraints. In t...
Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. ...