Research on monocular vision detection and tracking in infrared images of unmanned ships
Unmanned ships can be used in ocean exploration,military reconnaissance,military strikes and other fields,combined with GPS,AIS,wireless communication technology and image vision technology to achieve intelligent control of unmanned ships.The monocular vision detection of infrared images of unmanned ships plays an important role in target de-tection and tracking.This paper proposes to use YOLOV7 algorithm to recognize infrared image targets,determine the train-ing set of infrared images,and complete the training and update of the model after image preprocessing,and finally realize the recognition of infrared image targets.KCF algorithm is applied to infrared image target tracking,and the tracking pro-cess of KCF algorithm is studied.Simulation analysis using KCF algorithm and DCF algorithm shows that the tracking ac-curacy of KCF algorithm is 78％,which is better than DCF algorithm in the same case.
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