A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …

In this paper, we propose an accurate and effective method for detecting abnormal behavior.
We consider the video as a series of frame sequences; in the training phase, our deep …

Railway networks systems are by design open and accessible to people, but this presents
challenges in the prevention of events such as terrorism, trespass, and suicide fatalities …

In this paper, we propose an abnormal event detection method based on the combination of
Riemannian manifold and LSTM network. We divide the video into a series of non …

This work introduces an unsupervised approach to scene analysis and anomaly detection in
traffic video data, as captured from static surveillance cameras. A hybrid local-global scheme …

Recently, attention toward autonomous surveillance has been intensified and anomaly
detection in crowded scenes is one of those significant surveillance tasks. Traditional …

A single shepherd dog can herd a flock of sheep to a gate. Despite a heuristic algorithm of a
dog based on adaptive switching between collecting the sheep when they are too dispersed …

Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …

Abnormal behavior of crew members is an important cause of frequent ship safety accidents.
The existing abnormal crew recognition algorithms are affected by complex ship …