Abstract
Monitoring robot has the potential to provide a variety of assist in performing complex tasks. It is desirable that monitoring robot selects an adaptive ROI(region of interest) to capture working robot and peripheral object relation. However robot cannot recognize the invisible relationship between the objects like a human. In this study, we introduce four Gestalt evaluation factors of proximity, continuity, common fate and similarity, which allow the monitoring robot to select an adaptive ROI. Experimental results show the ability of ROI selection similar to human by the proposed method.
