최소비용과 최대관찰범위 확보를 위한 다수 카메라 시스템의 개미 군집 기반 최적 위치 선정 알고리즘

The growing prices and performance of cameras have increased demand for multi-camera systems, which have advantages such as greater accuracy and a wider field-of-view than single cameras. For this reason, research on multi-camera systems has been becoming more popular. This paper focuses on the optimal positioning problem, which considers where the cameras should be located in the interest area and how they should be posed at those points to minimize costs and maximize coverage when implementing a multi-camera system. This paper proposes an optimal positioning algorithm based on ant-colony intelligence. This algorithm is a specialized algorithm for the positioning of multi-camera systems and works with three types of pheromones, unlike conventional ant colony optimization algorithms. This paper also defines the optimal positioning problem as a multi-objective optimization problem. Finally, this paper validates the proposed algorithm through an experiment with a real space map.