Space Target Tracking Algorithm Based on Kernelized Correlation Filter
As the infrared detector approaches the target,the imaging of the target in the focal plane will change from small to large.At close range,it will be imaged in the form of area target.With the approach of distance,the scale change of the target will become more and more intense.Aiming at the problem that the classical kernelized correlation filter algorithm cannot cope with the scale-variable and occlusion,this paper proposes a kernelized correlation filters tracking algorithm that integrates scale filtering.Af-ter the position filter predicts the target position,the scale response is calculated by the scale filter to solve the target scale change problem.Aiming at the occlusion problem in the process of target tracking,an occlusion discrimination basis is proposed,which stops updating the template during occlusion to achieve stable and robust tracking.Comparative experiments show that the algorithm can effectively deal with scale-variable and occlusion,and the single frame processing speed reaches 120 FPS,which meets the re-al-time requirements.
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