Tracking Visitors in a Real Museum for Behavioral Analysis

This paper introduces a system to track visitors' positions and movement patterns through museum art galleries with the goal of assisting the curators and other Museum Professionals (MPs) in the tedious task of analyzing visitors' activities, behaviors and experiences. We use multiple LIDARs as a primary sensing technology in supporting our proposed system. We also describe how valuable information related to visitor behaviors can be autonomously collected and analyzed using our system. Additionally, we present a solution to visualize the visitors' movement patterns and preferences with respect to the exhibits. Finally, we tested our system in an art gallery of a real museum to validate its effectiveness.