Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental
task and can be applied in many fields. MOT consists of two critical procedures, ie, object …

Background Object detection is a new artificial intelligence approach to morphological
recognition and labeling parasitic pathogens. Due to the lack of equipment and trained …

With the deepening understanding of the nutritional value of oysters by consumers, oysters
as high-quality seafood are gradually entering the market. Raw edible oyster production …

Ensuring citizens' safety and security has been identified as the number one priority for city
authorities when it comes to the use of smart city technologies. Automatic understanding of …

The fruit fly Drosophila melanogaster is a classic research object in genetics and systems
biology. In the genetic analysis of flies, a routine task is to determine the offspring size and …

The collaborative use of camera near-field sensors for monitoring the number and status of
tourists is a crucial aspect of smart scenic spot management. This paper proposes a near …

Object detection and tracking are pivotal tasks in machine learning, particularly within the
domain of computer vision technologies. Despite significant advancements in object …

Mud flocculation and settling play key role in understanding sediment transport cycle and
affect water quality in estuaries and coastal seas. However, the morphological irregularity …

Drone aerial videos offer a promising future in modern digital media and remote sensing
applications, but effectively tracking several objects in these recordings is difficult. Drone …

This survey paper presents a comprehensive overview of the latest advancements in the
field of Simultaneous Localization and Mapping (SLAM) with a focus on the integration of …