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This paper present an optimal camera placement method that analyzes a spatial-temporal model and calculates priorities of spaces using simulation of pedestrian movement. In order to cover the space efficiently, we accomplished an agent-based simulation based on classification of space and pattern analysis of moving people. We have developed an agent-based camera placement method considering camera performance and space utility extracted from a path finding algorithm. We demonstrate that the method not only determines the optimal number of cameras, but also coordinates the position and orientation of the cameras with considering the installation costs. To validate the method, we show simulation results in a specific space.