Abstract—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.
Index Terms—Anomaly detection, machine learning, video,
Jubatus.
Tadashi Ogino is with School of Information Science, Meisei University,
Hino, Japan (e-mail: tadashi.ogino@nifty.com).
[PDF]
Cite: Tadashi Ogino, "Anomaly Detection System for Video Data Using Machine Learning," International Journal of Knowledge Engineering vol. 2, no. 2, pp. 104-108, 2016.
