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Background subtraction in real applications: Challenges, current models and future directions
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 …
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
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 …
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 …
method of vehicle detection in different traffic scenarios based on an improved YOLO v5 …
An efficient framework for clustered federated learning
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 …
partitioned into clusters. This setup captures settings where different groups of users have …
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery
Owing to the space–air–ground integrated networks (SAGIN), seaborne ship** has
attracted increasing interest in the research on the motion behavior knowledge extraction …
attracted increasing interest in the research on the motion behavior knowledge extraction …
SuBSENSE: A universal change detection method with local adaptive sensitivity
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 …
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 …
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …
An efficient framework for clustered federated learning
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 …
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 …
research dimension called computer-aided diagnosis (CAD) system for various biomedical …
A survey of advances in vision-based human motion capture and analysis
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 …
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …