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Urban safety monitoring camera deployment method based on vehicle movement locus

A vehicle operation and safety monitoring technology, applied in the field of surveillance camera deployment, can solve the problems that the optimal deployment of urban surveillance cameras has not been widely studied and the technology has not been widely used, so as to maximize the monitoring frequency, save costs, and strengthen effect of effect

Active Publication Date: 2016-06-22
XI AN JIAOTONG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0006] It can be seen that the optimal deployment of urban surveillance cameras has not been extensively studied, and related technologies have not been widely used.

Method used

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  • Urban safety monitoring camera deployment method based on vehicle movement locus
  • Urban safety monitoring camera deployment method based on vehicle movement locus
  • Urban safety monitoring camera deployment method based on vehicle movement locus

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Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with the embodiments.

[0025] The present invention aims to design a method for deploying urban security monitoring cameras, in order to more reasonably select the geographic location area where the cameras are deployed, and to more effectively monitor urban traffic, so that when an emergency occurs, it can be found with a greater probability or Restore the vehicle running track. Choosing a more reasonable deployment location is a very important issue. The reasons include: (1) The resolution of the camera is getting higher and higher, but the bandwidth resource is limited. Therefore, limited bandwidth cannot support unlimited installation of cameras in all road sections; (2) Due to the cost of camera hardware, installation and maintenance, and government investment limits, the total number of urban security monitoring cameras is also limited.

[0026] The present invention belongs to the deploymen...

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Abstract

The present invention provides an urban safety monitoring camera deployment method based on a vehicle movement locus, belonging to the field of the urban intelligent transportation and safety monitoring. Urban vehicle GPS data information is taken as an object, a license plate number, a longitude, a latitude and time are selected to be characteristics, and an urban map is divided into a plurality of same region units through grids; each region unit is subjected to numbers, a region unit with the max traffic flow is picked out from the urban map, and a camera is deployed; and other n-1 region units are picked out from the urban map based on a greedy strategy, and cameras are respectively deployed in the n-1 region units. The urban safety monitoring camera deployment method based on a vehicle movement locus is able to fully discover the rule of vehicle driving locus to optimize the urban monitoring strategy, and is applicable to different cities.

Description

technical field [0001] The invention relates to the field of urban intelligent transportation and safety monitoring, in particular to a method for deploying monitoring cameras. Background technique [0002] As an important field related to national economy, people's livelihood and social and economic development, intelligent transportation has received extensive and in-depth research in recent years. In the process of urban intelligence, the urban population and vehicle scale are also continuously expanding accordingly. In such a process, the original urban security monitoring resources will become increasingly insufficient, restricting the orderly and stable development of the city. Especially in recent years, with the development of global conflicts such as terrorism and regional economic education and other unbalanced factors, urban security monitoring, as an important issue, has become increasingly important. [0003] Different from the present invention, relevant rese...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04N7/18
CPCH04N7/181G08G1/0116
Inventor 马小博何宜晖李剑锋罗夏朴李卫管晓宏
Owner XI AN JIAOTONG UNIV
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