Internet-of-things binocular vision zoom dynamic target tracking test system platform and Internet-of-things binocular vision zoom dynamic target tracking ranging method

Abstract

The invention provides an Internet-of-things binocular vision zoom dynamic target tracking test system platform and an Internet-of-things binocular vision zoom dynamic target tracking ranging method. A known dynamic target can be continuously ranged from an acquired video image. Two automatic focusing cameras are adopted to acquire images, the focal length is dispersed into a plurality of fixed gears, the two cameras are put in different gears, and there is some overlap between the measuring intervals. Automatic focusing and camera switching are carried out according to the measured distance to enable the target to be imaged clearly within the view of the cameras and have a certain imaging size. Simple calibration is carried out by inversely calculating the focal lengths of the cameras at different known distance points repeatedly and working out the average value. Target tracking is completed by an improved Camshift algorithm. By adopting the method provided by the invention, distance measurement of a dynamic target in a wide range can be carried out precisely and quickly, and the measurement result can be received by an Internet host with use of the wireless communication technology.

Description

technical field [0001] The invention belongs to the technical field of computer vision measurement, and in particular relates to a binocular vision zoom dynamic target tracking test system platform and a ranging method of the Internet of Things. Background technique [0002] Commonly used ranging methods include laser ranging, microwave radar ranging, ultrasonic ranging, and infrared ranging, etc., and can complete static or dynamic real-time ranging targets according to different targets. [0003] However, computer vision ranging has the advantages of simple structure, high precision, non-contact, fast data acquisition, no harm to human eyes, online measurement and dynamic measurement, etc., and has been more and more widely used. [0004] At present, the commonly used machine vision ranging methods include binocular stereo vision ranging method, structured light method and geometric optics method. Among them, the most important is the binocular stereo vision distance meas...

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the shortcomings of the above-mentioned prior art, the object of the present invention is to provide a kind of Internet of Things binocular vision zoom dynamic target tracking test system platform and ranging method, which can track known dynamic targets from acquired video images and Continuous detection of real-time distance is used to solve the problem that the effective measurement range is small in the prior art and the measurement accuracy cannot be guaranteed when the effective range is increased. At the same time, the Internet of Things technology is used to share the measurement data on the network and transmit it through wireless communication technology. The data is sent to the host on the Internet for data reception and display, and it is used as a server for other hosts on the network to access and analyze data, etc.

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