Objects Detection in Drone Swarm Surveillance by Color Features

The paper proposes and analyzes an algorithm for objects detection through video surveillance by drone swarm based on their color features. By combining different methods for recognizing and filtering objects, the program provides the ability to accurately and reliably detect objects based on their unique attributes. The combination of physical and color recognition improves the efficiency of detecting and recognizing objects in video surveillance.