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Video sensor disposition optimization method considering a plurality of monitor tasks

A technology of video sensor and optimization method, applied in the direction of television, closed-circuit television system, electrical components, etc., can solve the problems of single monitoring task, single coverage requirement, complex and diverse monitoring task targets, etc.

Active Publication Date: 2017-06-06
NANJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the large spatial range of video sensor deployment and the complex and diverse monitoring task objectives, the monitoring tasks of different monitoring sub-regions are different, and the coverage requirements for video sensors are different. The traditional method is only for a single monitoring task. The coverage requirements of the target area are single, which obviously cannot meet the actual application requirements

Method used

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  • Video sensor disposition optimization method considering a plurality of monitor tasks
  • Video sensor disposition optimization method considering a plurality of monitor tasks
  • Video sensor disposition optimization method considering a plurality of monitor tasks

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Experimental program
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Embodiment

[0048] Step 1: Prepare high-precision data, including multiple vector layers of various types saved in shapefile format.

[0049] Step 2: Draw multiple monitoring target areas in the GIS software, and set the monitoring tasks for each monitoring area; draw multiple video sensor deployment candidate spaces in the GIS software; set the obstacle layer, such as the shape of the building layer;

[0050] Step 3: Use formula (1) to calculate the effective coverage distance D of each monitoring max .

[0051]

[0052] Among them, (h,w) represents the size of the image, (R h , R v ) is the pixel size of the image, β is the pixel size per unit length in the diagonal direction of the target object in different monitoring tasks, and d is the image distance.

[0053] Then the effective coverage of the video sensor in addition to satisfying figure 1 Two conditions in: (1) The grid points of the target area are within the visual threshold range of the video sensor, such as figure 1 ...

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Abstract

The present invention discloses a video sensor disposition optimization method considering a plurality of monitor tasks. The method comprises the steps: setting a monitoring target subarea and the corresponding monitoring subtarget, and determining the coverage effective distance of the monitoring subarea and a video sensor; setting the candidate space capable of deploying the video sensor, and selecting a barrier layer shielding the sight; dispersing variable parameters of each monitoring target subarea, the deployed candidate space and the video sensor; constructing and optimizing the target function and the constraint condition; employing the heuristic optimization algorithm to realize the deploying and optimization of the video sensor, and obtaining the number of the deployed video sensors, the space positions of the deploying and the deploying attitude parameters. The video sensor disposition optimization method considering a plurality of monitor tasks overcome the deficiency that other optimization methods are single in monitoring task.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a method for optimizing the deployment of video sensors in consideration of various monitoring tasks. Background technique [0002] Video sensor is an important sensor widely used in the perception of various public emergencies. It plays a prominent role in ensuring social security and maintaining social stability. Video data is often used for face recognition, behavior recognition, group behavior recognition, vehicle detection, license plate detection, etc. With the in-depth development of my country's "Safe City" and other projects, cities across the country have increased investment in video sensor hardware. However, in the current practical application of video sensors, there are often problems with blurred and unrecognizable monitoring images, blocked monitoring areas, and There are problems such as monitoring blind spots in the area and repeated construction of vid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18
CPCH04N7/181
Inventor 王美珍刘学军张亚南王自然
Owner NANJING NORMAL UNIVERSITY