VizWear-Active: Face Detection, Tracking and Registration for Augmented Memory

In this paper, we discuss a wearable assistant with a wearable active camera. This system called VizWear-Active can actively and robustly understand the wearer and his or her environment by camera control according to image processing and motion sensors. We propose face tracking for the VizWear-Active based on the ConDensation algorithm, which realizes real-time tracking by client-server distributed sampling. Furthermore, the tracking algorithm becomes stable against camera motion using motion sensors. We confirmed the face tracking in experiments by implementation on a prototype system for the VizWear-Active.