Anomaly Detection System for Video Data Using Machine Learning
Tadashi Ogino · International Journal of Knowledge Engineering · 2016
We are developing an anomaly detection system for video data that uses machine learning.The proposed system has two subsystems: feature extraction and anomaly detection.We developed two feature extraction systems.One uses traditional manual steps and the other uses machine learning, i.e., a neural network.For the anomaly detection system, we employ machine learning technology that we have developed for a cyber-attack detection system.Results confirm that both prototypes can detect anomalous events in experimental video data.