Track infrared point targets based on projection coefficient templates and non-linear correlation combined with Kalman prediction

► For a long time, tracking infrared point targets is a great challenge task. ► A tracking framework based on template matching combined with Kalman prediction is proposed. ► The projection coefficients obtained from principal component analysis are used as templates. ► The non-linear correlation coefficient is used to measure the matching degree. ► Kalman prediction reduces the searching region for the detection.