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English(EN) OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback

OmniTrack++ 通过轨迹反馈推进全景多目标跟踪

研究人员推出 OmniTrack++,一个先进的全向多目标跟踪框架,旨在克服全景失真和身份模糊等挑战。该系统采用反馈驱动方法,包含用于特征稳定的 DynamicSSM 模块和用于精确定位与关联的 FlexiTrack Instances。为了增强长期跟踪能力,ExpertTrack Memory 整合外观线索,而 Tracklet Management 模块根据场景动态自适应地切换跟踪模式。研究团队还发布了 EmboTrack 基准,包含 QuadTrack 和 BipTrack 等新数据集,以促进在真实全景场景中的评估。 AI

影响 引入了一种新的基准和跟踪方法,有望改进机器人和自主系统中的感知系统。

排序理由 这是一篇详细介绍新多目标跟踪方法并引入新基准数据集的研究论文。[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 →

OmniTrack++ 通过轨迹反馈推进全景多目标跟踪

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这是一篇详细介绍新多目标跟踪方法并引入新基准数据集的研究论文。[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) · Kai Luo, Hao Shi, Kunyu Peng, Fei Teng, Sheng Wu, Kaiwei Wang, Kailun Yang ·

    OmniTrack++:通过学习大视场轨迹反馈实现全向多目标跟踪

    arXiv:2511.00510v2 Announce Type: replace Abstract: To address panoramic distortion, large search space, and identity ambiguity under a 360{\deg} FoV, OmniTrack++ adopts a feedback-driven framework that progressively refines perception with trajectory cues. A DynamicSSM block fir…