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English(EN) Beyond Leaderboard Scores: A Deployment-Focused Protocol for Interpretable Tracking Evaluation in Pedestrian-Centric Environments

新协议超越聚合分数评估行人跟踪系统

已开发出一种新的面向行人的跟踪系统评估协议,以超越聚合分数来评估性能。该协议通过使用共享检测来隔离跟踪器行为,并专门评估初始化、通过漏检的持续性、身份保持以及嵌入式硬件上的运行时长等方面的性能。在 JackRabbot 数据集和基准 (JRDB) 上的测试表明,大多数开源跟踪器在没有检测器支持的情况下,难以在超过一秒的时间内保持身份和空间正确性,并且在拥挤场景下,有几个跟踪器的性能超出了实时性能限制。 AI

影响 该协议可能为移动机器人和自动驾驶汽车带来更强大、更可靠的行人跟踪系统。

排序理由 这是一篇详细介绍计算机视觉跟踪系统新评估协议的研究论文。[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 →

新协议超越聚合分数评估行人跟踪系统

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这是一篇详细介绍计算机视觉跟踪系统新评估协议的研究论文。[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) · Dominik Wojcikiewicz, Diego Paez-Granados ·

    超越排行榜分数:面向部署的可解释跟踪评估协议,适用于以行人为中心的环境

    arXiv:2610.01682v1 Announce Type: cross Abstract: Mobile robots operating among pedestrians need trajectories that become available quickly, remain spatially credible through missed observations, preserve identity, and fit within an embedded computing budget. Aggregate tracking s…