All-weather target real-time tracking method based on visible light and infrared images

Abstract

The invention puts forward an all-weather target real-time tracking method based on visible light and infrared images. The method comprises the following steps: preprocessing a visible light image and an infrared image to remove image noise and blind pixels; extracting corners from the visible light image and the infrared image by use of a Harris corner detection method, tracking the detected corners by use of an optical flow method, and registering the visible light image and the infrared image by use of an RANSAC algorithm; performing target detection on the registered images by use of an MHI method, and morphologically processing a detected target by use of a corrosion expansion method; and using a Kalman filter to track and outline the detected target, performing track correlation on the target based on the characteristics of the target, so as to monitor the target in real time. The detection probability of a target in a visible light image and an infrared image can be improved, and a moving target can be detected and identified with high efficiency under multiple spectrums and all weather.

Description

technical field [0001] The invention belongs to the technical field of target monitoring and tracking, and in particular relates to an all-weather real-time target tracking method based on visible light and infrared images. Background technique [0002] With the development of social economy and science and technology, in terms of civilian use, real-time monitoring, detection and tracking of moving targets such as crowds and traffic flow are important public places such as large shopping malls, airports, subways, stations, museums, exhibition halls, etc. Indispensable in management and decision-making. In order to ensure system security and operational efficiency, researches on technologies such as monitoring and tracking of complex moving objects are being actively carried out at home and abroad, in order to form a highly intelligent video surveillance system network. In terms of military applications, the infrared tracking system passively accepts the infrared radiation o...

AI Technical Summary

Problems solved by technology

Although it can reduce the influence of light changes and shadows, the algorithm implementation is relatively complicated, and it does not take into account the occurrence of actual applications such as occlusion of moving targets caused by a single viewing angle, resulting in mistracking, and single spectrum causing moving targets at night or in dimly lit places. Problems that cannot be effectively detected and identified

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