Camera network optimization: maximize coverage in a 3D virtual environment

Abstract

In this demo, we present a method for optimal video camera positioning. The final objective is to maximize visual coverage in complex indoor environments. Starting from a predefined camera model and environmental setup, we employ a particle swarm optimizer (PSO) to determine the best configuration of the camera network to satisfy our target coverage. The target coverage objectives can vary and depend on realistic factors such as lighting and obstacles.