Real-time motion tracking in visual art: algorithmic analysis and interactive light and sound integration

This thesis explores the integration of real-time motion tracking in interactive visual art installations, with the Raspberry Pi serving as the computational core. The research evaluates the performance of motion tracking algorithms, focusing on their suitability for real-time artistic applications. A practical art installation is developed, where motion data is processed and transmitted to Pure Data, controlling sound generation through granular synthesis and dynamic lighting. This study demonstrates how motion tracking and affordable hardware like Raspberry Pi can be effectively combined to create interactive and responsive environments, enhancing the viewer’s engagement with the visual installation.