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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

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

RANK_REASON This is a research paper published on arXiv detailing a new method for violence detection.

Read on arXiv cs.CV →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 · 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 · 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…