DOWNWARD-LOOKING SHIP TARGET TRACKING BASED ON ROTATED DSST ALGORITHM

For ship targets in down-sight conditions, the aspect ratio is uneven. Therefore, horizontal box labeling can lead to the interference of too much background information, making the target modeling inaccurate. To address this issue, a Rotated Discriminative Scale Space Tracker (roDSST) based on DSST is proposed. Firstly, the sampling method has been refined. The rotated target area is sampled using bilinear interpolation to reduce background interference and avoid quantization errors. Secondly, an angle filter is introduced to predict the rotation angle of the bounding box. Finally, the template update mechanism is improved by always retaining a certain weight of the initial template. The experimental results show that roDSST has superior performance in tracking accuracy and robustness on downward-looking ship sequences.