The automation strategy of today's smart cities relies on large IoT (internet of Things)
systems that collect big data analytics to gain insights. Although there have been recent …

Anomaly detection is of great importance in our modern life as it can be very useful in many
ways such as lowering costs, avoiding potential injuries, and even saving lives. The method …

Recently, transformation‐based methods have been widely used in many computer vision
areas because of their powerful representation ability. One of the most widely used …

Action recognition has found extensive applications in fields such as video classification and
security monitoring. However, existing action recognition methods, such as those based on …

The growing number of anomalies happening in indoor and outdoor environments calls for
accurate and robust action recognition systems. These anomalies could vary from theft …

When using traditional methods to query massive video surveillance data in intelligent
campus, there are some problems such as unstable query and inefficient query. Therefore, a …

Multi-scale methods, especially wavelets, are being used in various computer vision
applications, including surveillance, robotics, and human-centered computing. Human …

Nowadays, the deep learning concept is used to solve Computer Vision's many problems,
as remote-sensing image classification. Hyperspectral image (HSI) classification is a major …

Human action recognition is one of the most important fields in computer vision, because of
the large number of applications that employ action recognition. Many techniques have …

The wavelet transform is one of the widely used transforms that proved to be very powerful in
many applications, as it has strong localization ability in both frequency and space. In this …