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English(EN) ARC-SORT: Adaptive, Robust, Compensated Multi-Object Tracking with Interacting Multiple Models

新的ARC-SORT跟踪器改进了体育广播中的多目标跟踪

研究人员开发了ARC-SORT,一个专为体育广播设计的新型多目标跟踪系统,该系统无需任何训练即可实时运行。该系统测量自身的不确定性以适应其跟踪行为,并使用交互式多模型(IMM)卡尔曼滤波器根据预测可靠性定义搜索区域。ARC-SORT在SportsMOT和DanceTrack数据集上取得了高精度,在跟踪精度和身份切换方面优于现有方法,并且在消费级硬件上运行效率很高。 AI

影响 这项新的跟踪算法可以改善体育广播中的自动化分析和观众参与度。

排序理由 这是一篇详细介绍新算法及其在基准测试中性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的ARC-SORT跟踪器改进了体育广播中的多目标跟踪

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这是一篇详细介绍新算法及其在基准测试中性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Girish Kumar Adari ·

    ARC-SORT:具有交互式多模型的自适应、鲁棒、补偿式多目标跟踪

    arXiv:2610.22306v1 Announce Type: new Abstract: Multi-object tracking in sports broadcasts is hard for two reasons: athletes move fast and change direction abruptly, and the camera pans and zooms at the same time. We present ARC-SORT (Adaptive, Robust, Compensated SORT), a tracki…