| Most of the activities of urban people are concentrated indoors.The important indoor functional areas are dense and the spatial structure is complex,which is the key and difficult area of monitoring.The 3D video overlay modeling and optimization of indoor surveillance camera is the core problem that affects its effective application.At present,the modeling and optimization method for indoor surveillance camera is still imperfect.Therefore,it is of great significance to study the coverage of indoor surveillance cameras.In view of the diversity of indoor monitoring scene and monitoring target,as well as the diversity of user's functional requirements for the monitoring camera network,this paper studies and discusses the indoor video overlay model,the indoor video network overlay calculation method,and evaluates the indoor video overlay quality.The main research contents and results are summarized as follows:(1)Indoor 3D video overlay modeling.Based on the basic parameters of surveillance camera,an indoor 3D video overlay model is constructed.According to the different monitoring tasks and the different target constraint video overlay model,the influence of camera parameters on coverage quality is discussed.The characteristics of indoor scene are analyzed in detail,and the space is modeled discretely.On the basis of the traditional camera coverage model,the indoor 3D video overlay model is established by coupling the indoor building model,the 3D spatial discrete model and the indoor 3D video overlay model.(2)Network coverage calculation method of indoor monitoring camera.According to the task of monitoring coverage in different scenes,the problem of coverage calculation of 3D monitoring network is discussed in detail.Considering the influence of occlusion,target orientation and other factors on network coverage,different camera coverage quality evaluation methods are set according to different monitoring tasks.The results of the calculation are assigned to each discrete point in the region,and the coverage quality of the surveillance camera is evaluated by calculating the parameters of all discrete points.(3)Coverage optimization of indoor surveillance camera based on genetic algorithm.In order to optimize the coverage of indoor surveillance camera,genetic algorithm is introduced.The coverage optimization algorithm for indoor video overlay model and indoor geographic scene model is proposed.According to the evaluation system of indoor surveillance camera,the evaluation parameters before and after optimization are compared to evaluate the feasibility and effectiveness of the optimization algorithm.The automatic coverage optimization of indoor monitoring camera is realized. |
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