ended abstract details previous methods for motion tracking and capture in 3D animation and in particular that of hand motion tracking and capture. Our research aims to enable ges...
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
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...
Automated motion tracking of the myocardium from 3D echocardiography provides insight into heart’s architecture and function. We present a method for 3D cardiac motion tracking u...
In this paper a composite framework for collaborative working is presented. The framework includes real-time motion tracking based on computer vision from standard webcams situate...
Alberto Del Bimbo, Alessandro Valli, Fabio Pucci, ...
A fundamental issue in differential motion analysis is the compromise between the flexibility of the matching criterion for image regions and the ability of recovering the motion....
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...
VIMS Lab is situated in Department of Computer & Information Sc, University of Delaware, Newark, DE. USA.
At VIMS we work on various problems related to image/video processing...
In this paper, we introduce a novel iterative motion tracking
framework that combines 3D tracking techniques with
motion retrieval for stabilizing markerless human motion
captur...
Andreas Baak, Bodo Rosenhahn, Meinard Muller, Hans...