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source · 2026-05-22

SportsCapSportsCap 研究单目体育视频中的 3D 人体运动捕捉和细粒度动作理解。

Venue / source
arXiv 2021
Published
2021-04-01
Ingested
2026-04-25
Source type
paper
Paper pagearxiv.org · 2104.11452PDFarxiv.org · 2104.11452.pdfCode repositoryCode repository pending
#near-cvpr-2025#video-understanding#benchmarking#primary-source

一句话结论

SportsCap 研究单目体育视频中的 3D 人体运动捕捉和细粒度动作理解。

资料定位

这是从体育机器视觉文献清单中拆出的独立来源。当前 first-pass 编译先把它放进 raw/source 证据层，后续可按重要性升级为深分析笔记。

对体育 AI 子线的价值

它是 AthletePose3D 之前的重要姿态/动作理解前史，说明真实体育动作对单目 3D 理解提出更高要求。

局限或疑问

  • 当前是 bibliography-driven first-pass source note，优先保证来源可追溯和方向定位。
  • 重要 paper 后续应补 analysis.md、关键图页、实验设置和指标细节。

原始材料

  • raw/ingest/2026-04-25-sportscap/source.md
  • raw/ingest/2026-04-25-sportscap/paper-text.md
  • raw/ingest/2026-04-25-sportscap/links.yaml

相关页面

Metadata

{
  "id": "2026-04-25-sportscap",
  "type": "source",
  "title": "SportsCap（arXiv 2021）：SportsCap 研究单目体育视频中的 3D 人体运动捕捉和细粒度动作理解。",
  "status": "reviewed",
  "created": "2026-04-25",
  "updated": "2026-05-22",
  "venue": "arXiv 2021",
  "published_at": "2021-04-01",
  "ingested_at": "2026-04-25",
  "tags": [
    "near-cvpr-2025",
    "video-understanding",
    "benchmarking",
    "primary-source"
  ],
  "note_status": "reviewed",
  "source_type": "paper",
  "authors": [],
  "canonical_links": [
    "https://arxiv.org/abs/2104.11452",
    "https://arxiv.org/pdf/2104.11452.pdf"
  ],
  "raw_entry": "raw/ingest/2026-04-25-sportscap/",
  "topics": [
    "topics/sports-ai-video-understanding",
    "topics/sports-ai-roadmap",
    "topics/video-understanding"
  ],
  "entities": [
    "entities/sportsmot"
  ],
  "claims": [],
  "questions": []
}