[HTML][HTML] A review of synthetic image data and its use in computer vision
Development of computer vision algorithms using convolutional neural networks and deep
learning has necessitated ever greater amounts of annotated and labelled data to produce …
learning has necessitated ever greater amounts of annotated and labelled data to produce …
Detection and tracking meet drones challenge
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …
range of applications, including agriculture, aerial photography, and surveillance …
Recent advances in embedding methods for multi-object tracking: a survey
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 …
obtain entire moving trajectories. With the advancement of deep neural networks and the …
Giaotracker: A comprehensive framework for mcmot with global information and optimizing strategies in visdrone 2021
Y Du, J Wan, Y Zhao, B Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …
progresses in deep models and video quality. However, in challenging scenarios like drone …
Seadronessee: A maritime benchmark for detecting humans in open water
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 …
missions in maritime environments due to their flexible and fast operation capabilities …
AccDecoder: Accelerated decoding for neural-enhanced video analytics
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 …
quality video is inevitably collected by existing surveillance systems because of poor quality …
[HTML][HTML] Unmanned aerial vehicles for crowd monitoring and analysis
Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle
applications. From preventing stampede in high concentration crowds to estimating crowd …
applications. From preventing stampede in high concentration crowds to estimating crowd …
VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results
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 …
annual activity organizedby the VisDrone team focusing on evaluating UAV MOT tracking …
[HTML][HTML] DB-Tracker: Multi-Object Tracking for Drone Aerial Video Based on Box-MeMBer and MB-OSNet
Y Yuan, Y Wu, L Zhao, J Chen, Q Zhao - Drones, 2023 - mdpi.com
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 …
applications, but effectively tracking several objects in these recordings is difficult. Drone …
[HTML][HTML] Towards Real-Time On-Drone Pedestrian Tracking in 4K Inputs
C Oh, M Lee, C Lim - Drones, 2023 - mdpi.com
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 …
challenges persist in tracking objects in high-resolution images captured from drones. Such …