Object detection based on deep learning is one of the most important and fundamental tasks
of computer vision. High-performance detection algorithms have been widely used in many …

Underwater light attenuation leads to decreased image contrast. This reduction in contrast
subsequently decreases target visibility. Additionally, marine target detection is challenging …

Key frame extraction can provide evidence for traffic violation detection, which is essential to
support administrative punishment. However, the existing key frame extraction methods …

Online motion re-planning is an important feature for introducing robots into unstructured
environments where the close presence of humans at any time can challenge the operation …

The WHO reports that approximately 34 million people worldwide experience deafness and
hearing loss. In 2050, these will increase to affect 900 million people. It is essential to …

Detecting, tracking, and recognizing the posture of individual pigs are the primary computer
vision tasks of many camera-based decision support tools for precise livestock monitoring …

In an effort to enhance the efficiency and accuracy of deep-sea manganese nodule grasping
behavior by a manipulator, a novel approach employing an improved YOLOv5 algorithm is …

Raising livestock is essential in the farming industry to meet the consumer's requirement.
Livestock monitoring system is useful to monitor their health without needing too much …

Virtual fencing exploits the transformation of a dynamic environment into a cyber-physical
traceable system to restrict dangerous movements and create early warning zones. While …

High-throughput phenotyping (HTP) of seeds, also known as seed phenotyping, is the
comprehensive assessment of complex seed traits such as growth, development, tolerance …