Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …

Traditional target detection algorithms have difficulty to adapt complex environmental
changes and have limited applicable scenarios. However, the deep-learning-based target …

Maintenance professionals and other technical staff regularly need to learn to identify new
parts in car engines and other equipment. The present work proposes a model of a task …

In this paper, we consider the problem of automatic detection of humans in thermal videos
and images. The thermal videos are recorded on a meadow with a small forest with up to …

Foreign object debris (FOD) can critically damage aircraft engines as well as injure
personnel in an airport environment. Airfield inspectors routinely inspect runways for the …

An image contains a lot of information that humans can detect in a very short time. Image
captioning aims to detect this information by describing the image content through image …

The need to improve motion planning techniques for manipulator robots, and new effective
strategies to manipulate different objects to perform more complex tasks, is crucial for …

In digital era, being stranded from very basic telecommunication protocols and internet
makes vehicle rerouting-like crucial tools more difficult or even impossible, especially in …

The construction industry has always remained the economic and social backbone of any
country in the world where occupational health and safety (OHS) is of prime importance …

Pedestrian detection from a drone-based images has many potential applications such as
searching for missing persons, surveillance of illegal immigrants, and monitoring of critical …