Deep learning, which is a subfield of machine learning, has opened a new era for the
development of neural networks. The auto-encoder is a key component of deep structure …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

Fall events are one of the greatest risks for public safety, especially in some complex scenes
with large number of people. Nevertheless, there are few researches on fall detection in …

Abstract Wrong-Way Driving (WWD) crashes are relatively rare but more likely to produce
fatalities and severe injuries than other crashes. WWD crash segment prediction task is …

Research on video anomaly detection has mainly been based on video data. However,
many real-world cases involve users who can conceive potential normal and abnormal …

The anomaly detection in automated video surveillance is considered as one of the most
critical tasks to be solved, in which we aim to detect a variety of real-world abnormalities …

In this paper, we focus on key points detection of a person. We judge the abnormal behavior
of the person by detecting the motion of key points of that person. In the starting frame, we …

In today's world, thousands of surveillance cameras have been working round the clock.
These cameras are installed at railway stations, ATMs, streets and all the public spaces that …

Assistive technology is increasingly important as the senior population grows. The purpose
of this study is to develop a means of preventing fatal injury by monitoring the movements of …

Anomalous event detection and localization from the crowd is a challenging problem to the
computer vision community. It is an important aspect of intelligent video surveillance …