Experiential sampling for monitoring

Abstract

This demonstration presents a novel prototype of experiential sampling for monitoring in a multi-camera setting. The system utilizes the experiential sampling technique to compute the importance of each frame in multiple video streams, and selects the most important scene to display on the monitor that can be connected by a network or a wireless communication device, such as the infrared port mounted on a laptop. Furthermore, each frame to be displayed is adaptively centered to display the region of interest like moving objects or the human face. The monitored region is zoomed and panned based on the number and distribution of attention samples at that moment. What this demo therefore attempts to do is to display on the monitor the most relevant frame with a focus on the region of interest. Copyright 2003 ACM.