Development of computer vision algorithms using convolutional neural networks and deep
learning has necessitated ever greater amounts of annotated and labelled data to produce …

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …

Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …

In recent years, algorithms for multiple object tracking tasks have benefited from great
progresses in deep models and video quality. However, in challenging scenarios like drone …

Abstract Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue
missions in maritime environments due to their flexible and fast operation capabilities …

The quality of the video stream is key to neural network-based video analytics. However, low-
quality video is inevitably collected by existing surveillance systems because of poor quality …

Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle
applications. From preventing stampede in high concentration crowds to estimating crowd …

Abstract The Vision Meets Drone (VisDrone2021) Multiple Object Tracking (MOT) is the forth
annual activity organizedby the VisDrone team focusing on evaluating UAV MOT tracking …

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 …

Over the past several years, significant progress has been made in object tracking, but
challenges persist in tracking objects in high-resolution images captured from drones. Such …