Paper introduces IGMM-GAN for multimodal anomaly detection in mobility data.
problem Lack of ground truth data and dependence on pre-processing for anomaly detection in human mobility.
method Coupled IGMM-GAN for generating realistic synthetic datasets and multimodal anomaly detection.
result IGMM-GAN improves anomaly detection performance over existing GAN methods.