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A system and method for evaluating flight performance of flying targets based on multi-eye vision

A technology of flight target and flight performance, applied in CCTV systems, televisions, instruments, etc., can solve problems such as time-consuming and labor-intensive, and achieve the effect of increasing the monitoring range, ensuring integrity, and improving the level of automation

Active Publication Date: 2019-06-07
ZG TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of camera photography, the common method is to manually adjust the exposure time of each camera to deal with underexposure or overexposure under different lighting conditions. This method is acceptable when there are few cameras, but if there are many cameras in use, manually adjust the exposure time method is time consuming.

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  • A system and method for evaluating flight performance of flying targets based on multi-eye vision
  • A system and method for evaluating flight performance of flying targets based on multi-eye vision
  • A system and method for evaluating flight performance of flying targets based on multi-eye vision

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Embodiment Construction

[0030] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0031] Such as figure 1As shown, a system for evaluating flight performance of flying targets based on multi-eye vision includes n groups of shooting terminals, 1 server, n-1 (n≥2) clients and 1 router; each group of shooting terminals has There are more than one camera, wherein one group of shooting terminals corresponds to one said server, and all cameras in one group of shooting terminals are respectively electrically connected to said server; the remaining n-1 groups of shooting terminals are connected to n-1 said servers The clients are in one-to-one correspondence, and in the remaining n-1 groups of shooting terminals, all cameras in each group of shooting terminals are electrically connected to the correspond...

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Abstract

The present invention relates to a system and method for evaluating the flight performance of a flight target based on multi-eye vision. The system includes n groups of shooting terminals, 1 server, n-1 (n≥2) clients and 1 router; each group Each of the shooting terminals has more than one camera, wherein one group of shooting terminals corresponds to one of the servers, and all the cameras in one group of shooting terminals are respectively electrically connected to the server; the remaining n-1 groups of shooting terminals are connected to n The 1 clients are in one-to-one correspondence, and in the remaining n-1 groups of shooting terminals, all cameras in each group of shooting terminals are electrically connected to the corresponding clients; the server is connected to the n-1 groups of shooting terminals. Clients connect through said router. The invention is highly automated, and the integrity and reliability of the route obtained are high.

Description

technical field [0001] The invention relates to the field of moving target tracking and positioning, in particular to a system and method for evaluating the flight performance of a flying target based on multi-eye vision. Background technique [0002] At present, the commonly used moving target detection methods include optical flow method, frame difference method and background difference method. Background difference has been widely used because of its fast detection of moving targets, accurate detection and easy implementation. The key of background difference lies in the establishment of background model. Common background modeling methods include median method background modeling, mean method background modeling, Kalman filter model, single Gaussian distribution model, multi-Gaussian mixture model, codebook algorithm model, etc. Common object tracking method models can be divided into generative models based on appearance models and discriminative models based on appea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00H04N7/18
CPCH04N7/181G06V20/13
Inventor 郑顺义王晓南王辰朱中尉郑国良
Owner ZG TECH CO LTD