We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
We propose a novel approach to understanding
activities from their partial observations monitored through
multiple non-overlapping cameras separated by unknown time
gaps. In our...
A system is described for tracking the positions of football players during a match. The input is eight video streams from static cameras, each processed to generate measurements ...
In this paper we present an approach to simultaneously estimate gaze directions of multiple people in the view of a panoramic camera. Human faces are located and tracked using a p...
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...