Stgcn-pad: a spatial-temporal graph convolutional network for detecting abnormal pedestrian motion patterns at grade crossings - Song, Ge; Qian, Yu; Wang, Yi (Pattern analysis and applications : PAA, 2025)
Keywords: Anomalies; Artificial neural networks; Computer Science; Feasibility studies; Feature extraction; Feature maps; Graphical representations; Motion perception; Original Article; Pattern Recognition; Pedestrian crossings; Pedestrians; Pose estimation; Reconstruction; Spatial dependencies; Pedestrians’ behaviors; Grade crossings; Anomaly detection; Spatial-temporal graph convolutional network (ST-GCN)