Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets

no code implementations • 27 Jul 2022 • Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey, Mukesh Saini

In this paper, we systematically investigate the effect of concept drift on various detection models and propose a modified Adaptive Gaussian Mixture Model (AGMM) based framework for anomaly detection in multimedia data.

Anomaly Detection