Learning Silhouette Features for Control of Human Motion
ACM Transactions on Graphics, 2005.
We present a vision-based performance interface for controlling animated human characters. The system interactively combines information about the user s motion contained in silhouettes from three viewpoints with domain knowledge contained in a motion capture database to produce an animation of high quality. Such an interactive system might be useful for authoring, for teleconferencing, or as a control interface for a character in a game. In our implementation, the user performs in front of three video cameras