研究人员开发了一种新的系统，利用监控录像实时检测推搡等中度肢体暴力行为。该系统采用YOLO11和YOLO11-Pose进行人体检测和关键点提取，然后使用随机森林分类器分析身体倾斜和关节角度来区分攻击性行为。该方法在受控环境下的精确度达到0.98，在具有挑战性的真实场景下的精确度达到0.72，展示了其在城市安全中早期干预的潜力。 AI
影响 这项研究可以通过在监控系统中实现对攻击性行为的早期检测来增强公共安全。
排序理由 这是一篇发表在arXiv上的研究论文，详细介绍了一种新的暴力检测方法。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2605.02659v1 Announce Type: new Abstract: Physical violence in public spaces is a significant public health concern, with minor incidents such as pushing often serving as precursors to more severe escalations. This research develops an automated system for the real-time det…
Physical violence in public spaces is a significant public health concern, with minor incidents such as pushing often serving as precursors to more severe escalations. This research develops an automated system for the real-time detection of moderate physical violence, specifical…