CN117119148B - Visual evaluation method and system for video monitoring effect based on three-dimensional scene - Google Patents
Visual evaluation method and system for video monitoring effect based on three-dimensional scene Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/20—Image signal generators
- H04N13/275—Image signal generators from 3D object models, e.g. computer-generated stereoscopic image signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
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Abstract
The invention discloses a visual evaluation method for video monitoring coverage effect based on a three-dimensional scene, which comprises the following steps: determining a monitoring target according to the requirements of a cultural relic protection unit on a security monitoring area, generating a detection area corresponding to the monitoring target in a three-dimensional scene model of the cultural relic protection unit, analyzing the requirement of the detection area on video monitoring coverage effect, formulating a video monitoring equipment layout scheme of the video monitoring system according to the index influencing the requirement of the detection area video monitoring coverage effect in a pre-established video monitoring system coverage condition evaluation index system, and placing a camera component in the three-dimensional scene model of the cultural relic protection unit according to the video monitoring equipment layout scheme to simulate and layout a plurality of video monitoring equipment. The invention can solve the technical problems that the video monitoring blind area or the resource waste of the video monitoring equipment occurs due to the fact that the coverage area of the video monitoring cannot be determined in the existing monitoring equipment layout scheme.
Description
Technical Field
The invention belongs to the technical field of video monitoring, and particularly relates to a video monitoring coverage effect visualization evaluation method and system based on a three-dimensional scene.
Background
Cultural relics protection units include museums, cultural relics, ancient buildings, etc., which hold cultural relics of significant historic, cultural and artistic value. Because of their specificity and rarity, measures need to be taken to protect them from theft, vandalism or other adverse actions. The coverage situation research of the video monitoring system aims at providing an effective monitoring means and helping to prevent and timely cope with potential threats.
In the prior art, the coverage of the video monitoring system is estimated according to the line of sight of the video monitoring device by extracting factors affecting the coverage effect of the video monitoring system and determining the degree of influence based on expert judgment or subjective opinion of a decision maker, so as to determine the layout scheme of the video monitoring device, wherein the scheme is often presented in a simple mode such as a drawing.
However, the above-described monitoring device layout scheme has some non-negligible drawbacks:
the coverage of the first video monitoring device is fuzzy, the actual scene is not a simple plane but is a complex three-dimensional scene, the coverage of a camera is a three-dimensional area influenced by height, deflection angle, pitch angle and the like, the sight of the video monitoring device is blocked because the blocking of the video monitoring device by obstacles in a field is not considered, in addition, the coverage effect of a video monitoring system is evaluated because a qualitative index is not set, the coverage of video monitoring cannot be determined by a defense deploying person, and a video monitoring blind area or resource waste can be caused;
Secondly, determining the video monitoring equipment layout scheme based on expert judgment or subjective opinion of a decision maker, wherein the method relies on expert knowledge and experience, and the decision maker determines the overall scheme of video monitoring equipment defense arrangement according to self understanding and judgment. The video monitoring layout scheme determined based on the situation does not have objective standards as the basis, so that the problems of unreasonable video monitoring layout, monitoring blind areas, equipment resource waste and the like are caused;
third, optimization of the video monitoring equipment layout scheme requires decision makers to continuously adjust and improve according to actual conditions, and is low in efficiency and not applicable to video monitoring equipment layout of a video monitoring system in a large scene.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a visual evaluation method and a visual evaluation system for video monitoring coverage effect based on a three-dimensional scene. The technical problems that an existing monitoring equipment layout scheme cannot determine the coverage range of video monitoring, so that video monitoring blind areas or video monitoring equipment resource waste occur, and the determined video monitoring layout scheme does not have objective standards as a basis depending on expert knowledge and experience are solved, so that the problems that video monitoring layout is unreasonable, monitoring blind areas occur, equipment resource waste is caused and the like occur, and due to the fact that decision makers are required to continuously adjust and improve the video monitoring equipment layout scheme according to actual conditions, the efficiency is low, the video monitoring equipment layout scheme is not suitable for video monitoring equipment layout of a video monitoring system in a large scene.
In order to achieve the above object, according to one aspect of the present invention, there is provided a video monitoring coverage effect visualization evaluation method based on a three-dimensional scene, including the steps of:
(1) Determining a monitoring target according to the requirements of the cultural relic protection unit on the security monitoring area, and generating a detection area corresponding to the monitoring target in a three-dimensional scene model of the cultural relic protection unit constructed in advance.
(2) The method comprises the steps of (1) analyzing the requirement of a detection area on video monitoring coverage effect generated in the step, making a video monitoring equipment layout scheme of a video monitoring system (comprising a plurality of video monitoring equipment) according to an index which influences the requirement of the video monitoring coverage effect of the detection area in a pre-established video monitoring system coverage condition evaluation index system, and placing a camera component in a three-dimensional scene model of a cultural relic protection unit according to the video monitoring equipment layout scheme to simulate and lay out a plurality of video monitoring equipment; and constructing a video monitoring equipment model with a visualization function for the camera assembly of each video monitoring equipment according to the requirement of the video monitoring system for the coverage effect visualization.
(3) And (3) generating a detection object in the three-dimensional scene of the cultural relic protection unit, and acquiring the coverage rate of the video monitoring system according to the coverage condition of the video monitoring equipment model of each video monitoring equipment constructed in the step (2) on the detection object.
(4) And (3) optimizing layout of all video monitoring equipment by using a multi-objective optimized genetic algorithm according to the coverage rate of the video monitoring system obtained in the step (3) so as to obtain an optimized layout result.
Preferably, in the step (1), a monitoring target is determined according to the requirement of a cultural relic protection unit on a security monitoring area, an entrance area and a boundary area are selected as the monitoring target according to the requirement of a scene on personnel entering and exiting and passing around the scene, then the corresponding position of the monitoring target in a three-dimensional scene model of the cultural relic protection unit, which is built in advance, is obtained, an irregular graph is drawn to represent the area corresponding to the monitoring target, and a composite collision device and a trigger are added to the irregular graph, so that a detection area with a collision detection function, which is mapped in the three-dimensional scene of the cultural relic protection unit, of the monitoring target is finally obtained.
Preferably, the three-dimensional scene model of the cultural relic protection unit is constructed by the following steps:
(1-1) acquiring scene data of a cultural relic protection unit;
(1-2) processing and modeling the scene data obtained in the step (1-1) through a modeling tool and an editor in a 3DMAX platform to construct a three-dimensional scene model of a cultural relic protection unit, which comprises a site model and a building model.
And (1-3) exporting the scene model constructed in the step (1-2) into an FBX format, and importing the exported scene model into a Unity3D platform to obtain the three-dimensional scene model of the cultural relic protection unit.
Preferably, step (2) specifically includes analyzing requirements of video monitoring coverage effects of a detection area, obtaining indexes affecting the video monitoring coverage effects and corresponding weights according to a pre-established video monitoring system coverage condition evaluation index system, then comprehensively considering the indexes affecting the video monitoring coverage effects of the detection area according to the weight levels corresponding to the indexes, formulating a layout scheme of the video monitoring equipment to meet the requirements of the video monitoring coverage effects of the detection area, setting parameters such as installation positions, lens visual angles and monitoring ranges of all video monitoring equipment according to the scheme, arranging all video monitoring equipment in a video monitoring system on the detection area obtained in step (1) according to the layout scheme of the video monitoring equipment to obtain an initial video monitoring module, wherein when the video monitoring equipment is arranged in a three-dimensional scene model of a cultural relic protection unit, the parameters such as video monitoring positions, angles and visual distances are preset in the layout scheme of the video monitoring equipment, and the camera components in the Unity3D platform are placed at corresponding positions of the video monitoring equipment in the layout scheme to simulate the layout of the video monitoring equipment, finally, and the video monitoring equipment is arranged according to the layout scheme, and the simulation function of the video monitoring equipment has the visual monitoring equipment and the simulation function. Specifically, the process firstly simulates a dynamic adjustment process of video monitoring equipment under a real condition, and adds a translation and rotation function for a camera component; drawing a coverage effect diagram of the video monitoring equipment by using rays according to the view cone shape of the video monitoring equipment, and dynamically identifying obstacles in a video monitoring area of the video monitoring equipment by combining a ray detection algorithm to realize a shielding and removing effect; therefore, the video monitoring equipment model can simulate the interaction process of a real video monitoring equipment and display the visual effect of obstacle shielding, and the video monitoring equipment model with the simulation function and the visual display effect is obtained.
Preferably, the coverage condition evaluation index system of the video monitoring system is constructed through the following processes:
firstly, according to the monitoring target selected in the step (1), obtaining an index influencing the coverage condition of a video monitoring system; the index specifically comprises: monitoring range index, monitoring equipment index, monitoring blind spot index, and visual field coverage index;
then, the weight is distributed to the obtained indexes by using an analytic hierarchy process in the index weighting method so as to reflect the importance of the indexes in the overall evaluation, and finally, a comprehensive video monitoring system coverage condition evaluation index system is obtained, so that a basis is provided for the evaluation of each index.
Preferably, step (3) comprises the sub-steps of:
(3-1) generating a detection object set consisting of a plurality of detection objects in the three-dimensional scene model of the cultural relic protection unit;
(3-2) setting a counter cnt1=1;
(3-3) judging whether cnt1 is equal to the total number of the detected objects in the detected object set InitialObj, if so, proceeding to step (3-8), otherwise proceeding to step (3-4);
(3-4) judging whether the cnt1 detection object in the detection object set InitialObj collides with the detection area generated in the step (1) by using a collision detection method, if so, indicating that the cnt1 detection object is in the detection area, adding the detection object into the detection object set ObjintargetRIon in the preset detection area, and then proceeding to the step (3-5); otherwise, the cnt1 detection object is not in the detection area, and the process is ended;
(3-5) judging whether the cnt1 detection object is covered by the coverage area of any video monitoring equipment model constructed in the step (2), if so, entering the step (3-6), otherwise, entering the step (3-7);
(3-6) judging whether shielding exists between the cnt1 detection object and video monitoring equipment covering the detection object, if so, indicating that the cnt1 detection object is shielded, wherein the detection object is a detection object in a blind area, setting the color of the detection object to be red, and ending the process; otherwise, the cnt1 detection object is a non-shielding detection object covered by the coverage of the video monitoring equipment, the color of the detection object is set to be green, the detection object is added into a preset non-shielding detection object set objintargetRIon covered by the coverage of the video monitoring equipment, and then the step (3-7) is carried out;
(3-7) setting cnt1=cnt1+1, and returning to step (3-3);
and (3-8) obtaining the ratio of the number of the detection objects in the non-shielding detection object set ObjInCoverageregion to the number of the detection objects in the detection object set ObjInTargetRegion in the detection area, and taking the ratio as the coverage rate of the video monitoring system.
Preferably, step (3-1) firstly uses a poisson disk sampling algorithm to generate a uniform lattice within the range of a three-dimensional scene model of a cultural relic protection unit, and then uses prefabricated preforms to instantiate all points in the lattice to obtain a detection object set InitialObj consisting of a plurality of uniformly distributed and random detection objects, wherein the used preforms are realized by manufacturing a cube type example in a Unity3D platform and adding a box collision component and a rigid body component to the cube type example, and the preforms can trigger events by a collision detection method;
Judging whether the cnt1 detection object is covered by the coverage area of any video monitoring equipment model laid in the step (2) in the step (3-5) or not, wherein the detection is carried out in the following mode: firstly, acquiring video monitoring equipment models of all video monitoring equipment arranged in the step (2) by using a geometry, calculatearum planes function, then acquiring bounding boxes of the cnt1 detection objects by using a GetComponent < Renderer > (). Bounds function, finally detecting whether the bounding boxes of the cnt1 detection objects collide with the coverage area of any video monitoring equipment model constructed in the step (2), and if so, indicating that the cnt1 detection objects are covered by the coverage area of the video monitoring equipment models of the video monitoring equipment arranged in the step (2), otherwise, indicating that the cnt1 detection objects are not covered by the video monitoring equipment models.
The shielding test in the step (3-6) is to obtain the position information of the corresponding video monitoring equipment when the bounding box of the cnt1 detection object collides with the coverage area of the video monitoring equipment model in the traversing process of the step (3-5) and obtain the cnt1 detection object through a Transform component in the Unity3D platform, create a ray from the video monitoring equipment to the cnt1 detection object, and test whether the ray collides with the barrier of the shielding layer in the cultural relic protection unit scene model through a ray detection method, if so, the fact that the cnt1 detection object collides with the video monitoring equipment is indicated, and if not, the fact that the cnt1 detection object collides with the video monitoring equipment is indicated.
Preferably, step (4) comprises the sub-steps of:
(4-1) determining optimization objectives of a multi-objective optimization genetic algorithm to maximize monitoring coverage and optimize the number of video monitoring devices, combining the two optimization objectives into one objective function, balancing the importance of the two objectives using weights ；
(4-2) mapping the video monitoring equipment layout problem according to the optimization objective determined in the step (4-1) to obtain a genome, wherein each genome is used for representing a video monitoring equipment layout scheme, and each gene represents the position, deflection angle, pitch angle and state parameters of a certain video monitoring equipment (the state parameters refer to whether the video monitoring equipment is started or not, 0 represents that the video monitoring equipment is closed, and 1 represents that the video monitoring equipment is opened);
(4-3) initializing an initial population in the problem of layout of the video monitoring device to expand the genome obtained in the step (4-2) into an initial population consisting of M genomes, wherein the value of M ranges from 50 to 200, and M is selected as 100 in the example;
(4-4) mapping the objective function established in the step (4-2) into an fitness evaluation problem in a genetic algorithm according to the characteristics of the video monitoring equipment layout optimization problem and the characteristics of genes, so as to construct the fitness function, and calculating the fitness value of the video monitoring equipment layout scheme for evaluating the initial population consisting of M genomes in the step (4-3);
And (4-5) performing iterative optimization on the initial population according to the fitness value obtained in the step (4-4) to obtain an optimized layout scheme of the video monitoring equipment.
And (4-6) evaluating the effectiveness of the layout scheme of the video monitoring equipment optimized in the step (4-5) through the coverage condition evaluation index system of the video monitoring system constructed in the step (2), and obtaining an optimized layout result.
Preferably, step (4-5) comprises the sub-steps of:
(4-5-1) selecting a genome with the highest fitness value from all video monitoring equipment layout schemes by using a roulette selection method according to the fitness value obtained in the step (4-4), namely, using the optimal video monitoring equipment layout scheme as a parent;
(4-5-2) interleaving the parent selected in step (4-5-1) using a single point interleaving policy to generate offspring;
(4-5-3) performing a mutation operation on the progeny produced in step (4-5-2) to produce a new progeny;
(4-5-4) combining the offspring obtained in the step (4-5-3) with the parent selected in the step (4-5-1) to form a new population.
And (4-5-5) repeating the steps (4-5-1) to (4-5-4) until the preset iteration times or the coverage rate of the video monitoring system reaches a preset threshold value, and outputting the genome with the highest fitness value in the new population obtained in the step (4-5-4) as an optimal video monitoring system layout scheme.
According to another aspect of the present invention, there is provided a video monitoring coverage effect visualization evaluation system based on a three-dimensional scene, including:
the first module is used for determining a monitoring target according to the requirements of the cultural relic protection unit on the security monitoring area, and generating a detection area corresponding to the monitoring target in a three-dimensional scene model of the cultural relic protection unit constructed in advance.
The second module is used for making a video monitoring equipment layout scheme of a video monitoring system (comprising a plurality of video monitoring equipment) according to indexes influencing the requirements of the video monitoring coverage effect of the detection area in a pre-established video monitoring system coverage condition evaluation index system by analyzing the requirements of the video monitoring coverage effect of the detection area generated by the first module, and placing a camera component in a three-dimensional scene model of a cultural relic protection unit according to the video monitoring equipment layout scheme to simulate and layout the plurality of video monitoring equipment; and constructing a video monitoring equipment model with a visualization function for the camera assembly of each video monitoring equipment according to the requirement of the video monitoring system for the coverage effect visualization.
And the third module is used for generating a detection object in the three-dimensional scene of the cultural relic protection unit and acquiring the coverage rate of the video monitoring system according to the coverage condition of the video monitoring equipment model of each video monitoring equipment constructed by the second module on the detection object.
And the fourth module is used for optimizing layout of all the video monitoring devices by using the multi-objective optimized genetic algorithm according to the coverage rate of the video monitoring system obtained by the third module so as to obtain an optimized layout result.
In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:
(1) According to the invention, as the step (1) is adopted, a three-dimensional scene model and a video monitoring equipment model of a cultural relic protection unit are constructed, the coverage area of the video monitoring equipment is visually displayed, the shielding situation of the obstacle in the scene on the video monitoring is considered, the simulation effect of visual effect preview and man-machine interaction is better, and the situation that a video monitoring blind area or the resource waste of the video monitoring equipment occurs due to the fact that a defense arranging person cannot determine the coverage area of the video monitoring is improved;
(2) According to the invention, as the step (2) is adopted, the situation of arranging the video monitoring system and excessively relying on experience judgment is carried out according to subjective opinion of an expert judgment or decision maker, objective and systematic evaluation and analysis are carried out on the coverage situation of the video monitoring system by constructing an index system, and the decision maker is assisted to comprehensively evaluate the performance and the effectiveness of the video monitoring system from multiple aspects and find potential defects and improvement spaces;
(3) The invention adopts the step (4) to combine the intelligent optimization algorithm into the analysis of the coverage condition of the video monitoring system, thereby realizing the automatic optimization of the layout scheme of the video monitoring equipment.
Drawings
FIG. 1 is a flow chart of a visual assessment method for video monitoring coverage effect based on a three-dimensional scene;
FIG. 2 is a detailed flowchart of step (3) in the visual evaluation method of video monitoring effect based on three-dimensional scene of the present invention;
fig. 3 is a detailed flowchart of step (4) in the visual evaluation method of video monitoring effect based on three-dimensional scene.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The basic idea of the invention is that a video monitoring system coverage condition construction index system is provided for a decision maker to serve as a basis for making a video monitoring system layout scheme, so that the problem that the video monitoring system is laid out according to experience in a complex scene is solved; the method comprises the steps of constructing a video monitoring visual system based on a three-dimensional scene, providing visual display for video monitoring equipment with undefined coverage, and calculating coverage rate to analyze coverage problems of the video monitoring system, introducing shielding problems of obstacles into an analysis process of coverage conditions of the video monitoring system, reducing influence of shielding of the obstacles on the coverage effects of the video monitoring system, assisting a decision maker in evaluating, and solving the problems of unreasonable video monitoring layout, occurrence of monitoring blind areas, equipment resource waste and the like; and finally, combining an intelligent optimization algorithm to realize automatic optimization of the layout scheme of the video monitoring equipment.
As shown in fig. 1, the invention provides a visual evaluation method for video monitoring coverage effect based on a three-dimensional scene, which comprises the following steps:
(1) Determining a monitoring target according to the requirements of the cultural relic protection unit on the security monitoring area, and generating a detection area corresponding to the monitoring target in a three-dimensional scene model of the cultural relic protection unit constructed in advance.
The method specifically comprises the steps of firstly determining a monitoring target according to the requirements of a cultural relic protection unit on a security monitoring area, and selecting an entrance area and a boundary area as the monitoring target according to the requirements of a scene on personnel entering and exiting and passing around the scene.
And then, acquiring the corresponding position of the monitoring target in a pre-constructed three-dimensional scene model of the cultural relic protection unit, drawing an irregular graph to represent the corresponding region of the monitoring target, and adding a composite collision device and a trigger to the irregular graph, so as to finally obtain a detection region with a collision detection function, wherein the detection region is mapped in the three-dimensional scene of the cultural relic protection unit by the monitoring target.
Specifically, the three-dimensional scene model of the cultural relic protection unit in the step is constructed by the following steps:
(1-1) acquiring scene data of a cultural relic protection unit;
Specifically, the method performs site investigation for the cultural relic protection unit, acquires investigation results of the topography, building structure, cultural relic distribution, potential safety hazards possibly existing and the like of the site, and takes the investigation results as scene data of the cultural relic protection unit.
(1-2) processing and modeling the scene data obtained in the step (1-1) through a modeling tool and an editor in a 3DMAX platform to construct a three-dimensional scene model of a cultural relic protection unit, which comprises a site model and a building model.
Specifically, in the site model and building model construction process of the cultural relic protection unit, a building model of the cultural relic protection unit including a building, an enclosing wall, a road, a lawn and the like is constructed by accurately restoring the shape and structure of the building. Meanwhile, environmental elements such as trees, lamplight, weather effects and the like are added in the three-dimensional scene model of the cultural relic protection unit, and the site model of the cultural relic protection unit is built so as to increase the sense of reality and fidelity of the scene; adding materials, textures and maps to increase the visual effect of the scene;
and (1-3) exporting the scene model constructed in the step (1-2) into an FBX format, and importing the exported scene model into a Unity3D platform to obtain the three-dimensional scene model of the cultural relic protection unit.
The three-dimensional scene model of the cultural relic protection unit obtained in the step can be used for performing simulation operation in a Unity3D platform.
The method has the advantages that the situation that video monitoring blind areas or video monitoring equipment resources are wasted due to the fact that the coverage area of video monitoring cannot be determined by the defense-setting personnel is improved.
(2) The method comprises the steps of (1) analyzing the requirement of a detection area on video monitoring coverage effect generated in the step, making a video monitoring equipment layout scheme of a video monitoring system (comprising a plurality of video monitoring equipment) according to an index which influences the requirement of the video monitoring coverage effect of the detection area in a pre-established video monitoring system coverage condition evaluation index system, and placing a camera component in a three-dimensional scene model of a cultural relic protection unit according to the video monitoring equipment layout scheme to simulate and lay out a plurality of video monitoring equipment; and constructing a video monitoring equipment model with a visualization function for the camera assembly of each video monitoring equipment according to the requirement of the video monitoring system for the coverage effect visualization.
Firstly, analyzing requirements (including coverage rate, blind area, utilization rate of video monitoring equipment and the like) of a video monitoring coverage effect of a detection area, obtaining indexes influencing the video monitoring coverage effect and corresponding weights according to a pre-established video monitoring system coverage condition evaluation index system, comprehensively considering the indexes influencing the video monitoring coverage effect of the detection area according to the weights corresponding to the indexes, and formulating a layout scheme of the video monitoring equipment to meet the requirements of the video monitoring coverage effect of the detection area.
And (2) then, arranging all video monitoring equipment in the video monitoring system on the detection area obtained in the step (1) according to the layout scheme of the video monitoring equipment to obtain an initial video monitoring module, wherein when the video monitoring equipment is arranged in the three-dimensional scene model of the cultural relic protection unit, the layout condition of the video monitoring equipment in a real scene is simulated by presetting parameters such as video monitoring position, angle, viewing distance and the like in the layout scheme of the video monitoring equipment and placing a camera component in the Unity3D platform at the corresponding position of the video monitoring equipment in the layout scheme of the video monitoring equipment.
And finally, adding a simulation function and a visual display effect to the camera component of each video monitoring device in the initial video monitoring module according to the visual requirement of the coverage effect of the video monitoring system, and obtaining a video monitoring device model with the simulation function and the visual display effect. Specifically, the process firstly simulates a dynamic adjustment process of video monitoring equipment under a real condition, and adds a translation and rotation function for a camera component; drawing a coverage effect diagram of the video monitoring equipment by using rays according to the view cone shape of the video monitoring equipment, and dynamically identifying obstacles in a video monitoring area of the video monitoring equipment by combining a ray detection algorithm to realize a shielding and removing effect; therefore, the video monitoring equipment model can simulate the interaction process of a real video monitoring equipment and display the visual effect of obstacle shielding, and the video monitoring equipment model with the simulation function and the visual display effect is obtained.
Specifically, the coverage condition evaluation index system of the video monitoring system in the step is constructed through the following processes:
firstly, according to the monitoring target selected in the step (1), obtaining an index influencing the coverage condition of a video monitoring system; the index specifically comprises: monitoring range indexes (dividing a video monitoring area and delineating an area to be detected as a monitoring range, and taking the video monitoring coverage rate requirement aiming at the monitoring range as a judging standard), monitoring equipment indexes (comprising the number of cameras, the installation position and layout, the equipment type, the performance and the like), monitoring blind spot indexes (the occupation ratio of an uncovered area in a detection area), and visual field coverage indexes (the coverage rate and the repeated coverage rate of the cameras);
then, a hierarchical analysis method (Analytic Hierarchy Process) in an index weighting method is used for distributing weights to the obtained indexes so as to reflect the importance of the indexes in the overall evaluation, and finally, a comprehensive video monitoring system coverage condition evaluation index system is obtained, so that a basis is provided for evaluation of each index.
The method has the advantages that the coverage condition of the video monitoring system is objectively and systematically evaluated and analyzed by constructing an index system, so that a decision maker is assisted to comprehensively evaluate the performance and the effectiveness of the video monitoring system from multiple aspects, and potential defects and improvement space are found
(3) And (3) generating a detection object in the three-dimensional scene of the cultural relic protection unit, and acquiring the coverage rate of the video monitoring system according to the coverage condition of the video monitoring equipment model of each video monitoring equipment constructed in the step (2) on the detection object.
As shown in fig. 2, this step includes the following sub-steps:
(3-1) generating a detection object set consisting of a plurality of detection objects in the three-dimensional scene model of the cultural relic protection unit;
firstly, a poisson disk sampling algorithm is used for generating a uniform dot matrix in the range of a three-dimensional scene model of a cultural relic protection unit, and then all points in the dot matrix are instantiated by using prefabricated preforms so as to obtain a detection object set InitialObj formed by a plurality of uniformly distributed and random detection objects.
The detection objects generated by the points generated by using the poisson disk sampling algorithm after instantiation can be subjected to collision detection and identification, and when the number of the random detection objects distributed uniformly is enough, the coverage condition of the irregular coverage area of the video monitoring equipment can be simulated by the distribution condition of the detection objects. .
The used prefabricated body is realized by manufacturing a Cube type example in the Unity3D platform and adding a box body collision component and a rigid body component to the Cube type example, wherein the prefabricated body can trigger an event through a collision detection method.
(3-2) setting a counter cnt1=1;
(3-3) judging whether cnt1 is equal to the total number of the detected objects in the detected object set InitialObj, if so, proceeding to step (3-8), otherwise proceeding to step (3-4);
(3-4) judging whether the cnt1 detection object in the detection object set InitialObj collides with the detection area generated in the step (1) by using a collision detection method, if so, indicating that the cnt1 detection object is in the detection area, adding the detection object into the detection object set ObjintargetRIon in the preset detection area, and then proceeding to the step (3-5); otherwise, the cnt1 detection object is not in the detection area, and the process is ended;
specifically, the collision detection method used in this step is to identify a collision between a detection object including a rigid body and a collision component and a detection region using a OnTriggerEnter (Collider Collider) function, and to acquire detailed information about the collision by a collision parameter.
(3-5) judging whether the cnt1 detection object is covered by the coverage area of any video monitoring equipment model constructed in the step (2), if so, entering the step (3-6), otherwise, entering the step (3-7);
specifically, in the step, whether the cnt 1-th detection object is covered by the coverage area of any video monitoring equipment model laid in the step (2) is determined by the following method:
Firstly, acquiring video monitoring equipment models of all video monitoring equipment arranged in the step (2) by using a geometry, calculatearum planes function, then acquiring bounding boxes of the cnt1 detection objects by using a GetComponent < Renderer > (). Bounds function, finally detecting whether the bounding boxes of the cnt1 detection objects collide with the coverage area of any video monitoring equipment model constructed in the step (2), and if so, indicating that the cnt1 detection objects are covered by the coverage area of the video monitoring equipment models of the video monitoring equipment arranged in the step (2), otherwise, indicating that the cnt1 detection objects are not covered by the video monitoring equipment models.
(3-6) judging whether shielding exists between the cnt1 detection object and video monitoring equipment covering the detection object, if so, indicating that the cnt1 detection object is shielded, wherein the detection object is a detection object in a blind area, setting the color of the detection object to be red, and ending the process; otherwise, the cnt1 detection object is a non-shielding detection object covered by the coverage of the video monitoring equipment, the color of the detection object is set to be green, the detection object is added into a preset non-shielding detection object set objintargetRIon covered by the coverage of the video monitoring equipment, and then the step (3-7) is carried out;
Specifically, the shielding inspection of the step is to obtain the cnt1 detection object through a Transform component in the Unity3D platform, and to establish a ray from the video monitoring device to the cnt1 detection object when the position information of the video monitoring device corresponding to the bounding box of the cnt1 detection object is detected to collide with the coverage area of the video monitoring device model in the traversal process of the step (3-5), and to inspect whether the ray collides with an obstacle of a shielding layer in the cultural relic protection unit scene model through a ray detection method, if so, it is indicated that shielding exists between the cnt1 detection object and the video monitoring device, otherwise, it is indicated that shielding does not exist between the cnt1 detection object and the video monitoring device.
(3-7) setting cnt1=cnt1+1, and returning to step (3-3);
and (3-8) obtaining the ratio of the number of the detection objects in the non-shielding detection object set ObjInCoverageregion to the number of the detection objects in the detection object set ObjInTargetRegion in the detection area, and taking the ratio as the coverage rate of the video monitoring system.
(4) And (3) optimizing layout of all video monitoring equipment by using a Multi-objective optimized genetic algorithm (Multi-Objective Genetic Algorithm) according to the coverage rate of the video monitoring system obtained in the step (3) so as to obtain an optimized layout result.
As shown in fig. 3, this step includes the following sub-steps:
(4-1) determining optimization objectives of a multi-objective optimization genetic algorithm to maximize monitoring coverage and optimize the number of video monitoring devices, combining the two optimization objectives into one objective function, balancing the importance of the two objectives using weights ；
(4-2) mapping the video monitoring equipment layout problem according to the optimization objective determined in the step (4-1) to obtain a genome, wherein each genome is used for representing a video monitoring equipment layout scheme, and each gene represents the position, deflection angle, pitch angle and state parameters of a certain video monitoring equipment (the state parameters refer to whether the video monitoring equipment is started or not, 0 represents that the video monitoring equipment is closed, and 1 represents that the video monitoring equipment is opened);
specifically, the gene is exemplified by g 1 ＝(x 1 ,y 1 ,pitch 1 ,yaw 1 ,status 1 ) One genome is exemplified by G 1 ＝[g 1 ,g 2 ,...g n ]Wherein (x, y) represents the position of the video monitoring device, pitch is the deflection angle, yaw is the pitch angle, status is the state parameter, G represents a gene, i.e. the layout information of one video monitoring device, G represents a genome, i.e. a layout scheme of the video monitoring device, which comprises the layout information of n video monitoring devices, wherein n is a natural number;
(4-3) initializing an initial population in the problem of layout of the video monitoring device to expand the genome obtained in the step (4-2) into an initial population consisting of M genomes, wherein the value of M ranges from 50 to 200, and M is selected as 100 in the example;
(4-4) mapping the objective function established in the step (4-2) into an fitness evaluation problem in a genetic algorithm according to the characteristics of the video monitoring equipment layout optimization problem and the characteristics of genes, so as to construct the fitness function, and calculating the fitness value of the video monitoring equipment layout scheme for evaluating the initial population consisting of M genomes in the step (4-3);
specifically, in the video monitoring device layout optimization problem, the maximum monitoring coverage rate target is evaluated through the coverage rate corresponding to the video monitoring device layout scheme, and the optimized video monitoring device number is evaluated through calculating the video monitoring device number in the genome.
And (4-5) performing iterative optimization on the initial population according to the fitness value obtained in the step (4-4) to obtain an optimized layout scheme of the video monitoring equipment.
Specifically, the present step comprises the following sub-steps:
(4-5-1) selecting a genome having the highest fitness value from all video surveillance equipment layout schemes, i.e., an optimal video surveillance equipment layout scheme, as a parent according to the fitness value obtained in the step (4-4) and using Roulette-wire selection;
(4-5-2) interleaving the parent selected in step (4-5-1) using a Single-point interleaving policy (Single-point interleaving) to generate offspring;
(4-5-3) performing a mutation operation on the progeny produced in step (4-5-2) to produce a new progeny;
specifically, the method comprises the steps of realizing mutation operation by performing position fine adjustment, angle adjustment and the like on video monitoring equipment, and introducing random values for offspring.
(4-5-4) combining the offspring obtained in the step (4-5-3) with the parent selected in the step (4-5-1) to form a new population.
(4-5-5) repeating the steps (4-5-1) to (4-5-4) for a predetermined number of iterations (which is set according to the actual simulation situation, 200 times in the example) or until the coverage rate of the video monitoring system reaches a preset threshold (95% in the example), and outputting the genome with the highest fitness value in the new population obtained in the step (4-5-4) as an optimal video monitoring system layout scheme;
and (4-6) evaluating the effectiveness of the layout scheme of the video monitoring equipment optimized in the step (4-5) through the coverage condition evaluation index system of the video monitoring system constructed in the step (2), and obtaining an optimized layout result.
The method has the advantages that the intelligent optimization algorithm is combined into analysis of the coverage condition of the video monitoring system, so that automatic optimization of the layout scheme of the video monitoring equipment is realized.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The visual evaluation method for the video monitoring coverage effect based on the three-dimensional scene is characterized by comprising the following steps of:
(1) Determining a monitoring target according to the requirements of a cultural relic protection unit on a security monitoring area, and generating a detection area corresponding to the monitoring target in a three-dimensional scene model of the cultural relic protection unit constructed in advance; firstly, determining a monitoring target according to the requirements of a cultural relic protection unit on a security monitoring area, selecting an entrance area and a boundary area as the monitoring target according to the requirements of a scene on personnel entering and exiting and passing around the scene, then acquiring the corresponding position of the monitoring target in a pre-constructed three-dimensional scene model of the cultural relic protection unit, representing the corresponding area of the monitoring target by drawing an irregular graph, and adding a composite collision device and a trigger to the irregular graph, thereby finally obtaining a detection area with a collision detection function, wherein the detection area is mapped in the three-dimensional scene of the cultural relic protection unit by the monitoring target;
(2) The method comprises the steps of (1) analyzing the requirement of a detection area on video monitoring coverage effect, and according to an index which influences the requirement of the video monitoring coverage effect of the detection area in a pre-established video monitoring system coverage condition evaluation index system, making a video monitoring equipment layout scheme of a video monitoring system, wherein the video monitoring system comprises a plurality of video monitoring equipment, and placing a camera component in a three-dimensional scene model of a cultural relic protection unit according to the video monitoring equipment layout scheme to simulate layout of the plurality of video monitoring equipment; then, according to the requirement of the video monitoring system for coverage effect visualization, a video monitoring equipment model with a visualization function is built for the camera assembly of each video monitoring equipment; firstly, analyzing the requirement of a video monitoring coverage effect of a detection area, then obtaining an index influencing the video monitoring coverage effect and a weight corresponding to the index according to a pre-established video monitoring system coverage condition evaluation index system, then comprehensively considering the index influencing the video monitoring coverage effect of the detection area according to the weight corresponding to the index, formulating a layout scheme of the video monitoring equipment to meet the requirement of the video monitoring coverage effect of the detection area, setting the installation positions, the lens visual angles and the monitoring range parameters of all video monitoring equipment according to the scheme, then, arranging all video monitoring equipment in a video monitoring system on the detection area obtained in the step (1) according to the layout scheme of the video monitoring equipment to obtain an initial video monitoring module, wherein when the video monitoring equipment is arranged in a three-dimensional scene model of a cultural relic protection unit, the layout scheme of the video monitoring equipment is pre-set with video monitoring positions, angles and visual distance parameters, and placing camera components in a Unity3D platform on the corresponding positions of the video monitoring equipment in the layout scheme of the video monitoring equipment, finally, displaying the video monitoring equipment in a real scene according to the layout scheme of the video monitoring equipment, and finally, displaying the visual monitoring equipment with the visual simulation effect and the visual effect simulation function as each video monitoring equipment; specifically, the process firstly simulates a dynamic adjustment process of video monitoring equipment under a real condition, and adds a translation and rotation function for a camera component; drawing a coverage effect diagram of the video monitoring equipment by using rays according to the view cone shape of the video monitoring equipment, and dynamically identifying obstacles in a video monitoring area of the video monitoring equipment by combining a ray detection algorithm to realize a shielding and removing effect; therefore, the video monitoring equipment model simulates the interaction process of a real video monitoring equipment and displays the visual effect of obstacle shielding, and the video monitoring equipment model with the simulation function and the visual display effect is obtained;
(3) Generating a detection object in a three-dimensional scene of the cultural relic protection unit, and acquiring coverage rate of the video monitoring system according to the coverage condition of the video monitoring equipment model of each video monitoring equipment constructed in the step (2) on the detection object; step (3) comprises the following sub-steps:
(3-1) generating a detection object set consisting of a plurality of detection objects in the three-dimensional scene model of the cultural relic protection unit;
(3-2) setting a counter cnt1=1;
(3-3) judging whether cnt1 is equal to the total number of the detected objects in the detected object set InitialObj, if so, proceeding to step (3-8), otherwise proceeding to step (3-4);
(3-4) judging whether the cnt1 detection object in the detection object set InitialObj collides with the detection area generated in the step (1) by using a collision detection method, if so, indicating that the cnt1 detection object is in the detection area, adding the detection object into the detection object set ObjintargetRIon in the preset detection area, and then proceeding to the step (3-5); otherwise, the cnt1 detection object is not in the detection area, and the process is ended;
(3-5) judging whether the cnt1 detection object is covered by the coverage area of any video monitoring equipment model constructed in the step (2), if so, entering the step (3-6), otherwise, entering the step (3-7);
(3-6) judging whether shielding exists between the cnt1 detection object and video monitoring equipment covering the detection object, if so, indicating that the cnt1 detection object is shielded, wherein the detection object is a detection object in a blind area, setting the color of the detection object to be red, and ending the process; otherwise, the cnt1 detection object is a non-shielding detection object covered by the coverage of the video monitoring equipment, the color of the detection object is set to be green, the detection object is added into a preset non-shielding detection object set objintargetRIon covered by the coverage of the video monitoring equipment, and then the step (3-7) is carried out;
(3-7) setting cnt1=cnt1+1, and returning to step (3-3);
(3-8) obtaining the ratio of the number of the detection objects in the non-shielding detection object set objinconvergeregion to the number of the detection objects in the detection object set ObjInTargetRegion in the detection area, and taking the ratio as the coverage rate of the video monitoring system;
(4) According to the coverage rate of the video monitoring system obtained in the step (3), optimizing layout is carried out on all video monitoring equipment by using a multi-objective optimizing genetic algorithm so as to obtain an optimizing layout result; step (4) comprises the following sub-steps:
(4-1) determining optimization targets of a multi-target optimization genetic algorithm to maximize monitoring coverage and optimize the number of video monitoring devices, combining the two optimization targets into an objective function, and balancing the importance of the two targets by using weights;
(4-2) mapping the video surveillance equipment layout problem according to the optimization objective determined in the step (4-1) to obtain a genome for representing a video surveillance equipment layout scheme, wherein each gene represents the position, yaw angle, pitch angle and state parameters of a certain video surveillance equipment;
(4-3) initializing an initial population in the problem of the layout of the video monitoring device to expand the genome obtained in the step (4-2) into an initial population consisting of M genomes, wherein the value of M ranges from 50 to 200;
(4-4) mapping the objective function established in the step (4-1) into an fitness evaluation problem in a genetic algorithm according to the characteristics of the video monitoring equipment layout optimization problem and the characteristics of genes, so as to construct the fitness function, and calculating the fitness value of the video monitoring equipment layout scheme for evaluating the initial population consisting of M genomes in the step (4-3);
(4-5) performing iterative optimization on the initial population according to the fitness value obtained in the step (4-4) to obtain an optimized layout scheme of the video monitoring equipment;
and (4-6) evaluating the effectiveness of the layout scheme of the video monitoring equipment optimized in the step (4-5) through the coverage condition evaluation index system of the video monitoring system constructed in the step (2), and obtaining an optimized layout result.
2. The visual assessment method for video monitoring coverage effect based on three-dimensional scene according to claim 1, wherein the three-dimensional scene model of the cultural relic protection unit is constructed by the following steps:
(1-1) acquiring scene data of a cultural relic protection unit;
(1-2) processing and modeling the scene data obtained in the step (1-1) through a modeling tool and an editor in a 3DMAX platform to construct a three-dimensional scene model of a cultural relic protection unit, wherein the three-dimensional scene model comprises a site model and a building model;
and (1-3) exporting the scene model constructed in the step (1-2) into an FBX format, and importing the exported scene model into a Unity3D platform to obtain the three-dimensional scene model of the cultural relic protection unit.
3. The visual assessment method for video monitoring coverage effect based on three-dimensional scene as claimed in claim 2, wherein the video monitoring system coverage condition evaluation index system is constructed by the following procedures:
firstly, according to the monitoring target selected in the step (1), obtaining an index influencing the coverage condition of a video monitoring system; the index specifically comprises: monitoring range index, monitoring equipment index, monitoring blind spot index, and visual field coverage index;
Then, the weight is distributed to the obtained indexes by using an analytic hierarchy process in the index weighting method so as to reflect the importance of the indexes in the overall evaluation, and finally, a comprehensive video monitoring system coverage condition evaluation index system is obtained, so that a basis is provided for the evaluation of each index.
4. The visual assessment method for video surveillance coverage effect based on three-dimensional scene as claimed in claim 3, wherein,
firstly, using a poisson disk sampling algorithm to generate a uniform dot matrix in the range of a three-dimensional scene model of a cultural relic protection unit, and then using prefabricated preforms to instantiate all points in the dot matrix to obtain a detection object set InitialObj consisting of a plurality of uniformly distributed and random detection objects, wherein the used preforms are realized in a mode of manufacturing a cube type example in a Unity3D platform and adding a box body collision component and a rigid body component to the cube type example, and the preforms can trigger events through a collision detection method;
judging whether the cnt1 detection object is covered by the coverage area of any video monitoring equipment model laid in the step (2) in the step (3-5) or not, wherein the detection is carried out in the following mode: firstly, acquiring video monitoring equipment models of all video monitoring equipment arranged in the step (2) by using a geometry. Calculyfrustum planes function, then acquiring bounding boxes of the cnt1 detection objects by using a GetComponent < Renderer > (). Bounds function, and finally detecting whether the bounding boxes of the cnt1 detection objects collide with the coverage area of any video monitoring equipment model constructed in the step (2), if so, indicating that the cnt1 detection objects are covered by the coverage area of the video monitoring equipment models of the video monitoring equipment arranged in the step (2), otherwise, indicating that the cnt1 detection objects are not covered by the video monitoring equipment models;
The shielding test in the step (3-6) is to obtain the position information of the corresponding video monitoring equipment when the bounding box of the cnt1 detection object collides with the coverage area of the video monitoring equipment model in the traversing process of the step (3-5) and obtain the cnt1 detection object through a Transform component in the Unity3D platform, create a ray from the video monitoring equipment to the cnt1 detection object, and test whether the ray collides with the barrier of the shielding layer in the cultural relic protection unit scene model through a ray detection method, if so, the fact that the cnt1 detection object collides with the video monitoring equipment is indicated, and if not, the fact that the cnt1 detection object collides with the video monitoring equipment is indicated.
5. The visual assessment method for video surveillance coverage effect based on three-dimensional scene as set forth in claim 4, wherein the step (4-5) includes the sub-steps of:
(4-5-1) selecting a genome having the highest fitness value from all video surveillance equipment layout schemes as a parent according to the fitness value obtained in the step (4-4) and using a roulette selection method;
(4-5-2) interleaving the parent selected in step (4-5-1) using a single point interleaving policy to generate offspring;
(4-5-3) performing a mutation operation on the progeny produced in step (4-5-2) to produce a new progeny;
(4-5-4) combining the offspring obtained in the step (4-5-3) with the parent selected in the step (4-5-1) to form a new population;
and (4-5-5) repeating the steps (4-5-1) to (4-5-4) until the preset iteration times or the coverage rate of the video monitoring system reaches a preset threshold value, and outputting the genome with the highest fitness value in the new population obtained in the step (4-5-4) as an optimal video monitoring system layout scheme.
6. A video surveillance coverage effect visualization evaluation system based on a three-dimensional scene, comprising:
the first module is used for determining a monitoring target according to the requirements of the cultural relic protection unit on the security monitoring area and generating a detection area corresponding to the monitoring target in a three-dimensional scene model of the cultural relic protection unit constructed in advance; the first module is characterized in that firstly, a monitoring target is determined according to the requirements of a cultural relic protection unit on a security monitoring area, an entrance area and a boundary area are selected as the monitoring target according to the requirements of a scene on personnel entering and exiting and passing around the scene, then, the corresponding position of the monitoring target in a three-dimensional scene model of the cultural relic protection unit constructed in advance is obtained, the area corresponding to the monitoring target is represented by drawing an irregular graph, and then, a composite collision device and a trigger are added to the irregular graph, so that a detection area with a collision detection function, which is mapped in the three-dimensional scene of the cultural relic protection unit by the monitoring target, is finally obtained;
The second module is used for making a video monitoring equipment layout scheme of the video monitoring system by analyzing the requirement of the detection area generated by the first module on the video monitoring coverage effect, and according to an index which influences the requirement of the video monitoring coverage effect of the detection area in a pre-established video monitoring system coverage condition evaluation index system, setting a camera component in a three-dimensional scene model of a cultural relic protection unit according to the video monitoring equipment layout scheme to simulate and layout the video monitoring equipment; then, according to the requirement of the video monitoring system for coverage effect visualization, a video monitoring equipment model with a visualization function is built for the camera assembly of each video monitoring equipment; the second module is specifically characterized in that firstly, the requirement of the video monitoring coverage effect of a detection area is analyzed, then an index influencing the video monitoring coverage effect and a weight corresponding to the index are obtained according to a pre-established video monitoring system coverage condition evaluation index system, then the index influencing the video monitoring coverage effect of the detection area is comprehensively considered according to the weight corresponding to the index, a layout scheme of the video monitoring equipment is formulated to meet the requirement of the video monitoring coverage effect of the detection area, the scheme sets the installation positions, the lens visual angles and the monitoring range parameters of all the video monitoring equipment, then all the video monitoring equipment in the video monitoring system is distributed on the detection area obtained by the first module according to the video monitoring equipment layout scheme, so that an initial video monitoring module is obtained, when the video monitoring equipment is distributed in a three-dimensional scene model of an cultural relic protection unit, the layout of the video monitoring equipment is obtained by presetting the video monitoring positions, the angles and the visual distance parameters in the video monitoring equipment layout scheme, and placing camera components in a Unity3D platform at the corresponding positions of the video monitoring equipment in the video monitoring equipment layout scheme, finally, the video monitoring equipment is simulated in real scene according to the requirements of the video monitoring equipment, and the video monitoring equipment with the simulation effect is displayed by each simulation function of the video monitoring equipment; specifically, the process firstly simulates a dynamic adjustment process of video monitoring equipment under a real condition, and adds a translation and rotation function for a camera component; drawing a coverage effect diagram of the video monitoring equipment by using rays according to the view cone shape of the video monitoring equipment, and dynamically identifying obstacles in a video monitoring area of the video monitoring equipment by combining a ray detection algorithm to realize a shielding and removing effect; therefore, the video monitoring equipment model simulates the interaction process of a real video monitoring equipment and displays the visual effect of obstacle shielding, and the video monitoring equipment model with the simulation function and the visual display effect is obtained;
The third module is used for generating a detection object in the three-dimensional scene of the cultural relic protection unit and acquiring the coverage rate of the video monitoring system according to the coverage condition of the video monitoring equipment model of each video monitoring equipment constructed by the second module on the detection object; the third module includes:
the first submodule is used for generating a detection object set consisting of a plurality of detection objects in the three-dimensional scene model of the cultural relic protection unit;
a second sub-module for setting a counter cnt1=1;
the third sub-module is used for judging whether cnt1 is equal to the total number of the detected objects in the detected object set InitialObj, if so, entering the eighth sub-module, otherwise, entering the fourth sub-module;
a fourth sub-module, configured to determine, using a collision detection method, whether a cnt1 detection object in the detection object set initiobj collides with the detection area generated by the first module, if so, indicate that the cnt1 detection object is in the detection area, add the detection object into a preset detection object set objintargetchange in the detection area, and then enter a fifth sub-module; otherwise, the cnt1 detection object is not in the detection area, and the process is ended;
a fifth sub-module, configured to determine whether the cnt 1. Sup. St detection object is covered by the coverage area of any video monitoring device model constructed by the second module, if so, enter the sixth sub-module, otherwise enter the seventh sub-module;
A sixth sub-module, configured to determine whether there is a shielding between the cnt1 st detection object and the video monitoring device covering the detection object, if so, indicate that the cnt1 st detection object is shielded, the detection object is a detection object in a blind area, set the color of the detection object to be red, and end the process; otherwise, the cnt1 is a non-shielding detection object covered by the coverage of the video monitoring equipment, the color of the detection object is set to be green, the detection object is added into a preset non-shielding detection object set objintargetRIon covered by the coverage of the video monitoring equipment, and then the seventh sub-module is entered;
a seventh sub-module, configured to set cnt1=cnt1+1, and return to the third sub-module;
an eighth sub-module, configured to obtain a ratio of the number of the detection objects in the non-shielding detection object set objingageregion to the number of the detection objects in the detection object set ObjInTargetRegion in the detection area, as a coverage rate of the video monitoring system;
the fourth module is used for optimizing layout of all video monitoring equipment by using a multi-objective optimized genetic algorithm according to the coverage rate of the video monitoring system obtained by the third module so as to obtain an optimized layout result; the fourth module includes:
A ninth sub-module, configured to determine that optimization targets of the multi-target optimization genetic algorithm are the maximum monitoring coverage rate and the number of optimized video monitoring devices, combine the two optimization targets into an objective function, and balance importance of the two targets by using weights;
a tenth sub-module, configured to map the layout problem of the video monitoring device according to the optimization objective determined by the ninth sub-module, so as to obtain a genome, where the genome is used to represent a layout scheme of the video monitoring device, and each gene represents a position, a deflection angle, a pitch angle, and a state parameter of a certain video monitoring device;
an eleventh submodule, configured to perform an initialization process on an initial population in the layout problem of the video monitoring device, so as to expand the genome obtained by the tenth submodule into the initial population composed of M genomes, where the value range of M is 50 to 200;
a twelfth submodule, configured to map the objective function established by the ninth submodule to an fitness evaluation problem in a genetic algorithm according to the characteristics of the layout optimization problem of the video monitoring device and the characteristics of the genes, so as to construct a fitness function, and calculate a fitness value of a layout scheme of the video monitoring device, so as to evaluate an initial population composed of M genomes in the eleventh submodule;
A thirteenth sub-module, configured to iteratively optimize the initial population according to the fitness value obtained by the twelfth sub-module, so as to obtain an optimized layout scheme of the video monitoring device;
and the fourteenth sub-module is used for evaluating the validity of the video monitoring equipment layout scheme after the optimization of the thirteenth sub-module through the coverage condition evaluation index system of the video monitoring system constructed by the second module and obtaining an optimized layout result.
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| CN115879181A (en) * | 2022-12-01 | 2023-03-31 | 西安中创新能网络科技有限责任公司 | Video sensor coverage optimization method and device based on three-dimensional perception model |
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