The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

The deep learning technique has proven to be effective in the classification and localization
of objects on the image or ground plane over time. The strength of the technique's features …

Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

This research paper introduces a new approach for human activity recognition from UAV-
captured video sequences. The proposed approach involves two phases: an offline phase …

Visual tracking of multiple objects is an essential component for a perception system in
autonomous driving vehicles. One of the favorable approaches is the tracking-by-detection …

With the development of video satellites, multimoving object tracking in satellite video is
possible and has become a new challenging task. The difficulties are mainly caused by the …

Aerial human action recognition is an emerging topic in drone applications. Commercial
drone platforms capable of detecting basic human actions such as hand gestures have been …

For several years, fault diagnosis of photovoltaic (PV) plants has been manually performed
by the human operator by a visual inspection or automatically, by evaluating electrical …

Self-driving vehicles must be controlled by navigation algorithms that ensure safe driving for
passengers, pedestrians and other vehicle drivers. One of the key factors to achieve this …

Because photovoltaic (PV) plants require periodic maintenance, using unmanned aerial
vehicles (UAV) for inspections can help reduce costs. Usually, the thermal and visual …