作者: Ritu Garg , S. Indu , Santanu Chaudhury
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摘要: Optimal placement of visual sensors along with good lighting conditions is indispensable for the successful execution surveillance applications. Limited field-of-view, depth-of-field, occlusion due to presence different objects in scene form major constraints sensor placement. While over/under exposed objects, shadowing and light rays directly incident on camera lens are some source Because nature complexity problem, problem considered be a multi-objective global optimization problem. The paper outlines location multiple objective functions. Multi-Objective Genetic Algorithm used maximize coverage optimum illumination sensing space.