Research On Video Surveillance Facilities Placement Model For Complex Indoor 3D Scenes

With the rapid development of global economy and technology,large buildings are densely distributed in cities,and indoors have gradually become the main places for human activities.The internal spatial layout of most buildings is complicated,and there are a large number of partitions blocking the view,making it difficult to carry out safety precautions.In order to strengthen indoor security,it is necessary to scientifically plan and design indoor video surveillance systems.At present,the research on location selection of video surveillance points at home and abroad is mainly for outdoor open scenes,and there are few researches on the layout of indoor surveillance points.The traditional installation and layout of indoor surveillance cameras are mainly based on the experience of the engineers to choose the location of the surveillance cameras.The effectiveness of the deployment plan depends on the experience of the engineers.It is impossible to accurately evaluate the size of the camera coverage and the pros and cons of the plan,and lack of scientificity.When faced with the deployment of video surveillance equipment in a large-scale and complex space,traditional deployment methods cannot ensure that the deployment of surveillance equipment achieves the best results.For example,when the deployment of video monitors fails to achieve effective coverage,video surveillance is important."Cracks" appear in the area.On the contrary,if the monitoring deployment range has too many overlapping areas,the monitoring facility resources will also be wasted.These problems will lead to the increase in the cost of maintenance and other links in the later stage of construction,seriously affect the effectiveness and efficiency of monitoring,and promote the further increase of system complexity and cost,resulting in a certain degree of waste of resources.Therefore,how to optimize the network deployment of surveillance cameras so that the surveillance network can reduce system costs while meeting the maximum surveillance range and maximize economic benefits has attracted more and more attention from all walks of life.This research comprehensively considers various factors that affect the location of indoor video surveillance points,constructs a reasonable video surveillance point layout evaluation system,and proposes a video surveillance deployment model for three-dimensional indoor scenes,and provides a model and a model for the reasonable deployment of video surveillance facilities in indoor scenes.Technical method support.The main research contents of this paper including:(1)Evaluation index system for indoor video surveillance layout.Aiming at the problem of the lack of reasonable evaluation of indoor video surveillance layout results,this article takes into account the complexity of indoor space layout and the variability of the environment,and combines multiple influencing factors that affect the indoor video surveillance layout,and proposes an evaluation index system for indoor video surveillance layout.The video surveillance layout of the scene provides an objective evaluation index system support.(2)Indoor video surveillance placement model.Aiming at the problem of traditional indoor video surveillance points relying on manual experience,this paper comprehensively considers the influencing factors of video surveillance in the indoor space,determines the basic principles of indoor video surveillance deployment,and proposes indoor video surveillance full coverage deployment model and indoor video surveillance constraint coverage deployment The model provides model support for realizing the reasonable layout of video surveillance facilities in indoor scenes.(3)Indoor video surveillance placement method.Aiming at the indoor video surveillance placement model proposed in this paper,the indoor video surveillance deployment method based on genetic algorithm is studied.On the basis of general genetic algorithm,the infeasible solution generated in genetic operation is repaired,and the improved genetic algorithm is used to achieve full indoor surveillance.Solve the coverage model and indoor monitoring constraint coverage model.Finally,experiment and analyze the indoor video surveillance placement model proposed in this thesis,and verify the effectiveness of the indoor video surveillance deployment model in this thesis through the evaluation index system of the indoor video surveillance placement.