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AI system detects moderate violence in public spaces using skeletal analysis

Researchers have developed a new system for detecting moderate physical violence, such as pushing, in real-time using surveillance footage. The system employs YOLO11 and YOLO11-Pose for human detection and keypoint extraction, then uses a Random Forest classifier to analyze body inclination and joint angles to differentiate aggressive behavior. This approach achieved a precision of 0.98 in controlled settings and 0.72 in challenging real-world scenarios, demonstrating its potential for early intervention in urban security. AI

影响 This research could enhance public safety by enabling early detection of aggressive behavior in surveillance systems.

排序理由 This is a research paper published on arXiv detailing a new method for violence detection.

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI system detects moderate violence in public spaces using skeletal analysis

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Luis Angel Aparicio Borjas, Victor Elias Nieto, Juan Irving Vasquez, Alfonso Fernandez-Vazquez, Gerardo Antonio Alvarez Hernandez ·

    Human Activity Recognition Method for Moderate Violence Detection

    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…

  2. arXiv cs.CV TIER_1 English(EN) · Gerardo Antonio Alvarez Hernandez ·

    Human Activity Recognition Method for Moderate Violence Detection

    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…