Optimal Arrangement of Surveillance Cameras Using Space Division and a Genetic Algorithm

Abstract

This paper presents an optimal camera arrangement method for surveillance camera systems that evaluates the arrangement of cameras in 3D space. It makes use of multiple factors and optimizes this arrangement using a genetic algorithm (GA). We implemented a prototype in Unity that demonstrates our proposed method, and experiments show the performance of our method when used for placement in a virtual environment.