Video Surveillance Systems (VSS) are widely utilized in public and private areas to increase
public safety, such as shopping malls, markets, banks, hospitals, educational institutions …

Anomaly detection of surveillance video has become a critical concern in computer vision. It
can be used for real-time monitoring and the timely generation of alarms and is widely …

This paper discusses anomaly detection, which is one of the most well-known applications
of human activity recognition. Due to the ever-increasing activities posing risks ranging from …

Video anomaly detection in smart cities is a critical errand in computer vision that plays an
imperative role in intelligent surveillance and public security but is challenging due to its …

An effective (performance-and accuracy-wise) computational method for pattern recognition
in a continuous video stream using deep neural networks for access control systems is …

One of the most often used applications of human activity detection is anomaly detection,
which is covered in this paper. Providing security for a person is a key issue in every …

Предлагается эффективный, с точки зрения точности и быстродействия,
вычислительный метод распознавания образов в непрерывном видеопотоке с …

As a commonly used model for anomaly detection, the autoencoder model for anomaly
detection does not train the objective for extracted features, which is a downside of …

Vehicle detection in intelligent transportation systems (ITS) is a very important and
challenging task in traffic monitoring. The difficulty of this task is to accurately locate and …

The use of video surveillance systems has increased due to security concerns and their
relatively low cost. Researchers are working to create intelligent Closed Circuit Television …