Abstract— For many tasks in populated environments, robots need to keep track of present and future motion states of people. Most approaches to people tracking make weak assumpti...
Matthias Luber, Johannes Andreas Stork, Gian Diego...
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
The generation of 3-D models from uncalibrated image sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a...
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...
Banafshe Arbab-Zavar, Imed Bouchrika, John N. Cart...
The utility of walking parameters such as stride length, cadence and gait velocity for monitoring motor functions of patients suffering from brain injury, Parkinson’s disease an...