Multimodal Generative Neural Network for Anomaly Events Detection and Localization in Videos

Anomaly detection has gained more and more attention with the popularity of automatic surveillance services. However, the variety and uncertainty of abnormal objects and events make the detection and localization of them difficult. In this paper, we propose a Multimodal Generative Neural Network (MGNN), unsupervised anomaly events detection and anomaly objects localization method based on Generative Adversarial Network. Our architecture …