Video Surveillance System Camera Placement Optimization using Differential Evolution

The amount of Video Surveillance Systems around the world is continuously increasing, however, the usage of these systems in not the only choice how to solve security problem in many cases. The camera placement within the observed area is one of the most relevant problems within the new Video Surveillance System design. Some potential to automate the camera placement within the particular area is in utilization of various optimization methods. Nonetheless, the problem of camera placement is too complex for standard analytic solution methods. Differential Evolution has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. It represents a modern heuristic approach for minimizing nonlinear and non-differentiable continuous space functions. The possibilities of its application for the camera placement problem are analyzed in this research paper. Moreover, some progressive results were achieved and the future research conditions were proposed. Key-Words: Video Surveillance System, camera placement optimization, Differential Evolution, Video Surveillance Evaluation Framework.