An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
2018-01-09Code Available0· sign in to hype
B Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal
Code Available — Be the first to reproduce this paper.
ReproduceCode
Abstract
Videos represent the primary source of information for surveillance applications and are available in large amounts but in most cases contain little or no annotation for supervised learning. This article reviews the state-of-the-art deep learning based methods for video anomaly detection and categorizes them based on the type of model and criteria of detection. We also perform simple studies to understand the different approaches and provide the criteria of evaluation for spatio-temporal anomaly detection.