Abstract
We present SAM-H and WOFTSAM, novel planar trackers that combine robust long-term segmentation tracking provided by SAM 2 with 8 degrees-of-freedom homography pose estimation. SAM-H estimates homographies from segmentation mask contours and is thus highly robust to target appearance changes. WOFTSAM significantly improves the current state-of-the-art planar tracker WOFT by exploiting lost target re-detection provided by SAM-H. The proposed methods are evaluated on POT-210 and PlanarTrack tracking benchmarks, setting the new state-of-the-art performance on both. On the latter, they outperform the second best by a large margin, +12.4 and +15.2pp on the p@15 metric. We also present improved ground-truth annotations of initial PlanarTrack poses, enabling more accurate benchmarking in the high-precision p@5 metric. The code and the re-annotations are available at this https URL
Abstract (translated)
我们介绍了SAM-H和WOFTSAM，这两种是结合了由SAM 2提供的稳健长期分割跟踪与8自由度单应性姿态估计的新型平面追踪器。SAM-H通过从分割掩模轮廓中估算出单应矩阵，因此对目标外观变化具有高度鲁棒性。WOFTSAM通过利用SAM-H提供的丢失目标重新检测功能，显著提升了当前最先进的平面追踪器WOFT的表现。 我们提出的这些方法在POT-210和PlanarTrack追踪基准测试上进行了评估，并在这两个基准测试中均设立了新的性能标杆。特别是在后者中，它们超越了第二名一大截，在p@15指标上分别高出+12.4和+15.2个百分点。 此外，我们还提供了改进后的初始PlanarTrack姿态的地面真实注释，这使得在高精度的p@5度量标准下进行更准确的基准测试成为可能。代码以及重新标注的数据可在以下网址获得：[此处应提供链接]（请根据实际情况填写具体URL）。
URL
https://arxiv.org/abs/2602.19624
