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Indoor singe target positioning method based on camera network

A camera network and positioning method technology, applied in the field of indoor positioning, can solve problems such as poor system stability, calibration errors, and geometric calculations without solutions

Active Publication Date: 2015-06-10
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, this type of method requires accurate camera calibration, which often leads to unsolvable geometric calculations and poor system stability due to calibration errors.

Method used

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  • Indoor singe target positioning method based on camera network
  • Indoor singe target positioning method based on camera network
  • Indoor singe target positioning method based on camera network

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Embodiment Construction

[0055] The invention discloses an indoor single target positioning method based on a camera network, and its processing flow is as follows figure 1 shown. This method first uses the method based on feature point recognition to complete the camera mapping relationship modeling, secondly uses the method based on image block correlation to judge whether there is a moving target in the video, and then uses the target tracking method based on sequence genetic algorithm to realize the target tracking in the video , and finally calculate the image coordinates of the target according to the target tracking results, and use the camera mapping relationship to calculate the physical coordinates of the target.

[0056] In the implementation of the present invention, a certain floor in the room is selected as the implementation environment, and a camera network including 12 cameras is constructed, and its deployment is as follows figure 2 shown. The main flow of each embodiment part is ...

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Abstract

The invention discloses an indoor singe target positioning method based on a camera network, and belongs to the indoor target positioning technical field. The indoor singe target positioning method based on the camera network includes the following steps: firstly, using a method based on feature point identification to complete modeling of a camera mapping relation; secondly, using a method based on an image block correlation to judge whether a moving target exists in video; thirdly, using a target tracking method based on a sequence genetic algorithm to achieve target tracking in the video; finally, calculating an image coordinate of the target according to a target tracking result, using the camera mapping relation to calculate a physical coordinate of the target, and completing target positioning. The indoor singe target positioning method based on the camera network has the advantages of being low in cost, high in positioning accuracy, stable in running and the like, and has a wide application prospect in fields of indoor navigation, security monitoring and controlling, services based on positions and the like.

Description

technical field [0001] The invention relates to a method in the technical field of indoor positioning, in particular to an indoor single-target positioning method based on a camera network. Background technique [0002] Indoor positioning is a technology that specifies positioning and tracking targets in buildings and closed environments. It has important applications in indoor navigation, security monitoring, location-based services, medical monitoring and other fields. In recent years, with the rapid development of mobile Internet and the rapid increase of data and multimedia services, people's demand for indoor positioning is increasing. Realizing low-cost and high-precision indoor positioning has very important practical significance. [0003] According to the different wireless communication technologies used, the current indoor positioning technologies mainly include four categories: ultrasonic, infrared, ultra-wideband, and radio frequency identification. Ultrasonic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/20H04N7/18
Inventor 李毅吴振锋刘兴川姜晓涛贲伟冯程
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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