Deep-Learning Algorithms for Video Anomaly Detection: A Mini-Review
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With the increasing demand for security in the day-to-day lives of people, especially when in
public spaces, surveillance system helps to monitor human behavior, prevent illegal
activities and detect anomalous events. Anomaly detection in video involves the process of
detecting anomalous behaviors that occur in such video. Due to the inefficiency of humans
when it comes to surveillance, various algorithms can help to automatically detect these
anomalous events in videos. Deep learning is fast rising, which is very useful as it imitates
how humans gain knowledge and this helps in the area of surveillance and detection. This
study aims to provide a comprehensive review of deep learning algorithms used for the
detection of anomalous events captured in videos. This study also captures the datasets
available for anomaly detection, the applications and future research directions
Keywords
QA75 Electronic computers. Computer science