Motion target highest temperature detection method and system

Abstract

The embodiment of the invention provides a motion target highest temperature detection method and system. The method comprises the steps that a thermal infrared video of a motion target is acquired, an arbitrary frame image is segmented, a plurality of connected domains are acquired, and if the area of the connected domain with the highest temperature of a head in any frame image is maximum, the frame image is used as an effective frame image; a plurality of temperature characteristic parameters of each effective frame image are acquired, a histogram of all the temperature characteristic parameters of each effective frame image is acquired, and a frame corresponding to the maximum value of each histogram is used as a relatively-optimal frame image; the number of times of repeated appearance of each relatively-optimal frame image among all the relatively-optimal frame images is acquired, and the first six frame images with the maximum number of times of repeated appearance are used as alternative optimal frame images; and three images are selected from all the alternative optimal frame images to serve as optimal frame images, and the highest temperature of the motion target is acquired according to the three optimal frame images. Through the detection method and system, thermal infrared temperature automatic detection of the motion target is realized, manual intervention is notneeded, and the influence of human factors is avoided.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for detecting the highest temperature of a moving target. Background technique [0002] Temperature is a common physical quantity to be detected. Common surface temperature detection methods include infrared cameras, contact thermocouples, body surface thermometers and contact chips. Among them, the latter three methods obtain the temperature of one point, which are prone to measurement errors and are only suitable for short-term detection of a small number of samples. Infrared thermal imager temperature measurement has the advantages of being non-invasive and presenting temperature distribution. It can obtain the temperature distribution of the area of ​​interest, obtain more temperature information, and realize online temperature measurement. The use of thermal imagers for online temperature monitoring has a wide range of application requirements in the f...

AI Technical Summary

Problems solved by technology

This will cause the thermal infrared detector to receive different thermal radiation values, so the acquired thermal infrared temperature shows fluctuations

[0006] The traditional method is difficult to locate the moving target, mainly relying on manual selection of the best attitude frame, manually delineating the area of ​​interest to obtain the temperature measurement results, this method is labor-intensive and affected by human factors, and cannot achieve long-term automatic monitoring

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