The connectivity and intelligence of Internet of Things (IoT) equipment offer improved
services, but several technical challenges have emerged in recent years that hinder the …

The creation of an image from another and from different types of data including text, scene
graph, and object layout, is one of the very challenging tasks in computer vision. In addition …

In this research, a smart camera that can be used for monitoring public transit and for law
enforcement purposes is discussed. Since we are conducting an academic review of …

Recent years have witnessed the computing process gradually move to the edge network,
close to the physical data source, to serve applications that require large computations with …

Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

Automated recognition of image patterns in surveillance cameras is beneficial for safety
monitoring. A representative application is visual proximity detection for accident prevention …

In this work, a face recognition method is proposed for face under pose variations using a
multitask convolutional neural network (CNN). Furthermore, a pose estimation method …

Automatic identification of anomalies in video surveillance is an interesting research field.
Even though interactive multimedia anomaly detection algorithms have been developed, it is …

Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Image Dehazing is an important low-level vision task that aims to remove the haze from an
image. In this paper, we proposed Densely Connected Convolutional Transformer (DCCT) …