Moving objects detection with a moving camera: A comprehensive review

MN Chapel, T Bouwmans - Computer science review, 2020 - Elsevier
During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Ship detection with deep learning: a survey

MJ Er, Y Zhang, J Chen, W Gao - Artificial Intelligence Review, 2023 - Springer
Ship detection plays a pivotal role in efficient marine monitoring, port management, and safe
navigation. However, the development of ship detection techniques is vastly behind other …

Seadronessee: A maritime benchmark for detecting humans in open water

LA Varga, B Kiefer, M Messmer… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 …

1st workshop on maritime computer vision (macvi) 2023: Challenge results

B Kiefer, M Kristan, J Perš, L Žust… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract The 1st Workshop on Maritime Computer Vision (MaCVi)| 2023 focused on
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …

GGT-YOLO: A novel object detection algorithm for drone-based maritime cruising

Y Li, H Yuan, Y Wang, C Xiao - Drones, 2022 - mdpi.com
Drones play an important role in the development of remote sensing and intelligent
surveillance. Due to limited onboard computational resources, drone-based object detection …

Marine vessel detection dataset and benchmark for unmanned surface vehicles

N Wang, Y Wang, Y Wei, B Han, Y Feng - Applied Ocean Research, 2024 - Elsevier
Deep learning-based visual perception of an unmanned surface vehicle (USV) essentially
benefits from informative images. It is unfortunately short of available datasets of marine …

Energy-efficient task offloading of edge-aided maritime UAV systems

H Li, S Wu, J Jiao, XH Lin, N Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper considers the autonomous detecting and tracking task of unmanned aerial
vehicles (UAVs) in the maritime environment. Due to the high computational complexity of …

Multiple ship tracking in remote sensing images using deep learning

J Wu, C Cao, Y Zhou, X Zeng, Z Feng, Q Wu, Z Huang - Remote Sensing, 2021 - mdpi.com
In remote sensing images, small target size and diverse background cause difficulty in
locating targets accurately and quickly. To address the lack of accuracy and inefficient real …

A guide to image and video based small object detection using deep learning: Case study of maritime surveillance

AM Rekavandi, L Xu, F Boussaid… - arXiv preprint arXiv …, 2022 - arxiv.org
Small object detection (SOD) in optical images and videos is a challenging problem that
even state-of-the-art generic object detection methods fail to accurately localize and identify …

[HTML][HTML] A robust method for multi object tracking in autonomous ship navigation systems

Z Shao, Y Yin, H Lyu, CG Soares - Ocean Engineering, 2024 - Elsevier
Abstract A novel Maritime Multi-Object Tracking method is proposed, combining a deep
learning-based object detector with target association algorithms to achieve robust sea …