Temporal Pose Analysis for False Positive Reduction in Proactive Video Surveillance
Marko M. Živanović1
and Milica M. Živanović2
1 Faculty of Information Technology, Belgrade Metropolitan University, Tadeuša Košćuška 63, Belgrade, 11000, Serbia
2 Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, Belgrade, 11000, Serbia
marko.zivanovic@metropolitan.ac.rs
milicazivanovic2411@gmail.com
DOI:10.46793/BISEC25.257Z
ABSTRACT: Proactive video surveillance demands efficient and accurate models for real-time analysis, especially in the context of protecting vulnerable groups such as the el-derly and children in public spaces. This paper presents a modular system for fall detection, a critical component of such surveillance that enables rapid emergency response. The system utilizes the YOLO11x-pose model to perform human pose estimation, processing video from diverse sources (local files, webcams, RTSP streams) to identify 17 skeletal keypoints. Its core innovation lies in detecting a fall as a dynamic transition from a standing or sitting posture to a lying state, which significantly reduces false alarms compared to static pose analysis. The methodology employs a PoseTracker for multi-person tracking and a PoseAna-lyzer that classifies posture based on biomechanical parameters (e.g., torso angle, knee angle, bounding box aspect ratio). The system generates dual outputs: a vis-ually annotated video for human review and structured JSON data for real-time integration with external alarm systems (e.g., VMS). This configurable and ro-bust solution provides a practical foundation for automated safety monitoring.
KEYWORDS: Pose Estimation, Fall Detection, YOLO11x-pose, Real-Time Tracking, Proactive Surveillance, Public Safety.
ACKNOWLEDGMENT: The authors express their gratitude to Metropolitan University for the stimulating environment for scientific research and for the financial support provided. Particular gratitude is owed to the measure of exempting the authors from the registration fee, which directly enabled the publication and presentation of the results of this research.
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