With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

Crowd analysis is very important for human behavior analysis, safety science, computational
simulation, and computer vision applications. One of the most popular applications is video …

Abnormal event detection is a challenging problem in video surveillance which is essential
to the early-warning security and protection system. We propose an algorithm to solve this …

This paper introduces a method of abnormal human activity recognition in surveillance
video. The method uses Bayes Classifier and Convolutional Neural Network to detect four …

Feature descriptor is one of the important subjects in video analysis problem. In this paper,
we propose one video feature descriptor combining motion and appearance cues. The …

It is the foundation of accessing and controlling cloud environment to establish the mutual
trust relationship between users and clouds. How to identify the credible degree of the user …

This paper presents a new corpus, called EMOLY (EMOtion and AnomaLY), composed of
speech and facial video records of subjects that contains controlled anomalies. As far as we …

Anomalous scene detection in high density crowd has become a topic of great interest for
public safety at the venues of mass gatherings. In this paper, we proposed an anomalous …

Nowadays, in order to prevent criminal behaviors or traffic accidents, video surveillance
systems have become more and more popular in both outdoor and indoor places such as …

With the growth of demand for security and safety, video-based surveillance systems have
been employed in a large number of rural and urban areas. The problem of such systems …