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Urban video monitoring space optimization method based on sign-in POI

A technology of video surveillance and optimization method, applied in the field of geographic information and space optimization, can solve the problems of multiple monitoring blind spots, high overlapping rate of surveillance camera coverage, not considering the influence of monitoring subject factors and monitoring camera parameter factors, etc., to reduce surveillance Blind area, reduce the overlap rate and occlusion rate, and improve the effect of monitoring coverage

Active Publication Date: 2018-06-15
HENAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) The current deployment of the video surveillance system is mainly based on the deployment of the monitoring area and its internal road intersections, building entrances and exits, without considering the influence of monitoring subject factors and monitoring camera parameters
[0005] (2) The current deployment of video surveillance systems is mainly to select the installation location of the cameras, and there is a lack of optimization and configuration process for the number of surveillance cameras and their type parameters
[0006] (3) At present, the deployment of the monitoring system is mainly based on experience, which has a certain degree of subjectivity, resulting in a high coverage overlap rate of monitoring cameras, and there are many monitoring blind spots

Method used

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  • Urban video monitoring space optimization method based on sign-in POI
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  • Urban video monitoring space optimization method based on sign-in POI

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Such as figure 1 Shown, a kind of city video monitoring space optimization method based on check-in POI of the present invention comprises the following steps:

[0057] Step S101: Select the point with the highest probability of being monitored among all the grid units in the monitoring area as a candidate point.

[0058] Step S102: Applying the POI data logged in by the user in the monitoring area to calculate the camera field of view at the candidate point.

[0059] Step S103: Remove the grid cells covered by the camera field of view at the candidate points, and select the points with the highest probability of being monitored in the remaining grid cells.

[0060] Step S104: Determine whether all the grid units in the monitoring area are completely covered, if not, proceed to step S101; if yes, proceed to the next step.

[0061] Step S105: Perform video surveillance optimization in combination with the maximum coverage optimization model.

Embodiment 2

[0063] Such as figure 2 As shown, another urban video surveillance space optimization method based on check-in POIs of the present invention includes the following steps: Step S201: dividing the monitoring area grid:

[0064] According to the scope of the monitoring area and the area occupied by the building, a grid unit with a fixed size is selected, and the monitoring area is spatially discretized, divided into grid units with a fixed size, and the grids covered by the building are eliminated.

[0065] Step S202: Calculate the field of view of the monitoring area:

[0066] Taking each grid unit in the monitoring area as a viewpoint, apply the field of view analysis method to calculate the field of view range of each grid unit; as an implementable method, apply the Line of Sight (LOS) field of view analysis method to calculate The field of view range of each grid cell.

[0067] Step S203: Calculate the maximum probability of being monitored:

[0068] According to the calc...

Embodiment approach

[0101] As an implementable mode, the GLPK optimizer is used to optimize the solution;

[0102] Step S2084: Evaluation of video surveillance optimization scheme:

[0103] Select the three indicators of coverage rate, overlap rate and occlusion rate to evaluate and analyze the optimization results; combine the evaluation results to form the final video surveillance deployment and surveillance camera selection plan;

[0104] The view coverage rate is defined as the ratio of the coverage area after camera view fusion to the area of ​​the monitoring area; the overlap rate is defined as the ratio of the sum of the view area areas of all deployed cameras to the area of ​​view area after fusion; the occlusion rate is defined as the camera view area The ratio of the area blocked by the building to the area of ​​the fused field of view.

[0105] As a possible implementation method, select the check-in POI data of the blocks between Hanjiang Road, Changjiang Road, Huainan Street, and Un...

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Abstract

The invention relates to the technical field of the geographic information and space optimization, and especially relates an urban video monitoring space optimization method based on sign-in POI. Theurban video monitoring space optimization method based on sign-in POI comprises the following steps: selecting a point with the maximum monitored probability in all units in a monitoring region as a candidate point; computing a camera field of vision at the candidate point by applying the user sign-in POI data in the monitoring region; removing a unit covered by the camera field of vision at the candidate point, and selecting the point with the maximum monitored probability in the rest units; judging whether all units in the monitoring region are completely covered; and performing the video monitoring optimization by combining with a maximum coverage optimization model. Through the optimization method disclosed by the invention, the scientificity of the video monitoring deployment is improved, the monitoring coverage overlapping rate is lowered, and the monitoring dead zone is reduced.

Description

technical field [0001] The invention relates to the technical field of geographic information and space optimization, in particular to a method for optimizing urban video monitoring space based on check-in POIs. Background technique [0002] With the rapid development of my country's urbanization and the continuous advancement of safe city construction, urban public security has become one of the focus issues of governments at all levels; the construction of video surveillance systems for urban public spaces has become the key to ensuring public security and deterring crimes links. In a specific urban public space, based on the dual goal constraints of the lowest construction cost and the largest effective monitoring range, how to scientifically configure a certain number of different types of surveillance cameras at specific locations and reduce or reduce monitoring blind spots has become a large-scale video surveillance Fundamental issues of system construction. [0003] ...

Claims

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Application Information

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IPC IPC(8): H04N7/18G06Q10/04
CPCG06Q10/04H04N7/181
Inventor 韩志刚崔彩辉陈郁孔云峰秦奋
Owner HENAN UNIVERSITY
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