• A Hybrid Multi-Person Fall Detection Scheme Based on Optimized YOLO and ST-GCN 

      Liu, Lei; Sun, Yeguo; Ge, Xianlei (UNIR, 03/2025)
      Human falls are a serious health issue for elderly and disabled people living alone. Studies have shown that if fallers could be helped immediately after a fall, it would greatly reduce their risk of death and the percentage ...
    • Aligning Figurative Paintings With Their Sources for Semantic Interpretation 

      Aslan, Sinem; Steels, Luc (UNIR, 01/03/2025)
      This paper reports steps in probing the artistic methods of figurative painters through computational algorithms. We explore a comparative method that investigates the relation between the source of a painting, typically ...
    • Automatic Surveillance of People and Objects on Railway Tracks 

      Martínez Núñez, Domingo; López Hernández, Fernando Carlos; Rainer Granados, J. Javier (UNIR, 01/09/2025)
      This paper describes the development and evaluation of a surveillance system for the detection of people and objects on railroad tracks in real time. Firstly, the paper evaluates several background subtraction techniques ...
    • Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction 

      Su, Zhan; Yu, Ruiyun; Zou, Shihao; Guo, Bingyang; Cheng, Li (UNIR, 01/03/2025)
      Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ...