This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Surveillance systems do not give a rapid response to deal with suspicious activities such as
armed robbery in public places. Consequently, there is a need for technology that can …

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 letter studies the problem of air-to-air visual detection of micro unmanned aerial
vehicles (UAVs) by monocular cameras. This problem is important for many applications …

As one of the non-contact methods for incipient fault diagnosis of power distribution lines,
UV-Visible imaging has become popular due to its good performance and robustness …

Most deep-learning-based target detection methods have high computational complexity
and memory consumption, and they are difficult to deploy on edge devices with limited …

Abstract In agriculture, Unmanned Aerial Vehicles (UAVs) have shown great potential for
plant protection. Uncertain obstacles randomly distributed in the unstructured farmland …

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 …

Obstacle detection plays an important role in train automatic operation. To overcome the low
accuracy and poor real-time performance of traditional detection methods, and better detect …

Unmanned aerial vehicles (UAVs) have been widely used in urban traffic supervision in
recent years. However, the detection, tracking, and geolocation of moving vehicle based on …