With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …

The phenomenon of human falls is a highly significant health concern, particularly for elderly
individuals and disabled individuals who reside alone. The global elderly population is …

Recognizing artworks in a cultural site using images acquired from the user's point of view
(First Person Vision) allows to build interesting applications for both the visitors and the site …

Forest fires have emerged as a significant global concern, exacerbated by both global
warming and the expanding human population. Several adverse outcomes can result from …

Object segmentation and recognition is an imperative area of computer vision and machine
learning that identifies and separates individual objects within an image or video and …

This article proposes an integrated system for segmentation and classification of two moving
objects, including car and pedestrian from their side‐view in a video sequence. Based on …

Accurately estimating the six degree of freedom (6-DoF) pose of objects in images is
essential for a variety of applications such as robotics, autonomous driving, and …

Multispectral object detection, utilizing RGB and TIR (thermal infrared) modalities, is widely
recognized as a challenging task. It requires not only the effective extraction of features from …

This research presents an innovative methodology aimed at monitoring jet trajectory during
the jetting process using imagery captured by unmanned aerial vehicles (UAVs). This …

Nowadays moving object detection has become a very prime area for research due to its
use in various computer vision applications. Beside from the vital benefit of being able to …