Research On Correlation Of Infrared Image Quality Evaluation Indexes For Target Tracking

The automatic recognition and tracking of infrared imaging targets is an inevitable trend in the development of infrared precision guidance weapons in the future. Infrared imaging guidance is a guidance method that relies on infrared images for target recognition and tracking. The characteristics of the image sequence determine the difficulty of target tracking. Therefore, adding infrared image quality evaluation technology to the performance evaluation of the tracker will certainly play a greater role in its future technological development. In order to establish the correlation between the infrared image quality evaluation index and the performance evaluation index of the automatic target tracking algorithm, it is first proposed to consider adding the challenge attribute in the tracker data set to the infrared image quality evaluation index to establish the infrared image quality evaluation index and the tracker. The correspondence between the data set challenge attributes. The new evaluation method can not only make the performance evaluation of the tracker more accurate and comprehensive, and provide a judgment on whether the infrared image is recognizable and traceable, but also can specifically determine the applicable scene of the tracker according to the value of the evaluation index. Have engineering practical significance.