Background subtraction in real applications: Challenges, current models and future directions

B Garcia-Garcia, T Bouwmans, AJR Silva - Computer Science Review, 2020 - Elsevier
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs

M Mandal, SK Vipparthi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …

[HTML][HTML] Real-time vehicle detection based on improved yolo v5

Y Zhang, Z Guo, J Wu, Y Tian, H Tang, X Guo - Sustainability, 2022 - mdpi.com
To reduce the false detection rate of vehicle targets caused by occlusion, an improved
method of vehicle detection in different traffic scenarios based on an improved YOLO v5 …

An efficient framework for clustered federated learning

A Ghosh, J Chung, D Yin… - Advances in neural …, 2020 - proceedings.neurips.cc
We address the problem of Federated Learning (FL) where users are distributed and
partitioned into clusters. This setup captures settings where different groups of users have …

Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery

H Li, JSL Lam, Z Yang, J Liu, RW Liu, M Liang… - … Research Part C …, 2022 - Elsevier
Owing to the space–air–ground integrated networks (SAGIN), seaborne ship** has
attracted increasing interest in the research on the motion behavior knowledge extraction …

SuBSENSE: A universal change detection method with local adaptive sensitivity

PL St-Charles, GA Bilodeau… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Foreground/background segmentation via change detection in video sequences is often
used as a step** stone in high-level analytics and applications. Despite the wide variety of …

ViBe: A universal background subtraction algorithm for video sequences

O Barnich… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper presents a technique for motion detection that incorporates several innovative
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …

An efficient framework for clustered federated learning

A Ghosh, J Chung, D Yin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We address the problem of federated learning (FL) where users are distributed and
partitioned into clusters. This setup captures settings where different groups of users have …

Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy

RF Mansour - Biomedical engineering letters, 2018 - Springer
The high-pace rise in advanced computing and imaging systems has given rise to a new
research dimension called computer-aided diagnosis (CAD) system for various biomedical …

A survey of advances in vision-based human motion capture and analysis

TB Moeslund, A Hilton, V Krüger - Computer vision and image …, 2006 - Elsevier
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …