Execution behavior modeling methodology for large scale surveillance system design and evaluation

This paper presents a performance and evaluation environment for complex surveillance system design. The system consists of environment model, execution model, and application and evaluation model. The environment model interprets the script and creates objects in a surveillance environment so that various situations can be evaluated. The execution model modifies generated data with the perspective of each sensor and reflects algorithm execution behavior. The application model allows building large scale collaborative operations. The system behavior is parameterized for simple representations. The feasibility of the proposed method is illustrated through the case studies for improving the prototype surveillance system.