Asian Journal of Engineering, Sciences & Technology

Anomaly Detection in Video Surveillance Using Machine Learning Techniques

Research Article 2
Asian Journal of Engineering, Sciences and Technology - Volume 8, Issue 2 2018
By Fasiha Laraib Anwar
Keywords: Anomaly, Anomalous Behavior, Frame Extraction, Feature Extraction, Unsupervised Learning, ONE Class SVM)

In this research work classification of anomalous and non anomalous behavior in video streams using unsupervised machine learning techniques is performed. The research also focuses on identifying machine learning algorithm that are investigated the potential of simple but fast and accurate in the classification of anomalous and non-anomalous behavior.

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