Face Masked and Unmasked Humans Detection and Tracking in Video Surveillance

Y Alayary, N Shoukry, MA Abd El Ghany… - 2022 4th Novel …, 2022 - ieeexplore.ieee.org
Due to the spread of COVID-19, people wearing face masks became a regular occurrence
worldwide. Moreover, there are nations where covering one's face is done for religious or …

Comparative study of different activation functions for anomalous sound detection

YA Ahmed, H Othman… - … on Microelectronics (ICM), 2021 - ieeexplore.ieee.org
Anomaly detection is of great importance in our modern life as it can be very useful in many
ways such as lowering costs, avoiding potential injuries, and even saving lives. The method …

[PDF][PDF] Real-time implementation of moving object detection in video surveillance systems using FPGA

T Kryjak, M Gorgoń - Computer Science, 2011 - bibliotekanauki.pl
The article presents the concept of real-time implementation computing tasks in video
surveillance systems. A pipeline implementation of a multimodal background generation …

Remotely reconfigurable hardware–software platform with web service interface for automated video surveillance

R Brzoza-Woch, A Ruta, K Zieliński - Journal of Systems Architecture, 2013 - Elsevier
This paper presents a reconfigurable hardware platform for general-purpose video
processing. The proposed design is a step towards portable, web-enabled devices which …

Multi-stage localization given topological map for autonomous robots

A Mohammed, M Salem - 2012 Seventh International …, 2012 - ieeexplore.ieee.org
Vision-based place recognition is of a particular importance for autonomous systems that
aim to navigate intelligently in a human-inhabited environment. Given a topological map of …

Autoencoder Models Optimization for Remote Sensing Image Semantic Segmentation

RM Lotfy, M Khalifa, MAM Salem - … International Conference on …, 2022 - ieeexplore.ieee.org
With the continuous rapid advancements that take place in the computer vision world comes
the hope of solving alarming problems like environmental pollution or climate change. The …

Federated Learning for Smoke and Fire Detection Models Optimization

YA Ahmed, MA Salama, MAM Salem… - 2024 41st National …, 2024 - ieeexplore.ieee.org
Incidents of fire and smoke can lead to a lot of damage and may cause some casualties.
Modern fire and smoke detection approaches lack generalization as they are only trained to …

Review on supervised and unsupervised deep learning techniques for hyperspectral images classification

MA Shafaey, MAM Salem, MN Al-Berry… - … Conference on Artificial …, 2021 - Springer
Nowadays, the deep learning concept is used to solve Computer Vision's many problems,
as remote-sensing image classification. Hyperspectral image (HSI) classification is a major …

Towards the optimal hardware architecture for computer vision

A Nieto, DL Vilarino, VB Sánchez - Machine Vision-Applications …, 2011 - books.google.com
Computer Vision systems are experiencing a large increase in both range of applications
and market sales (BCC Research, 2010). From industry to entertainment, Computer Vision …

On the selection of the proper wavelet for moving object detection

A Mohammed, M Salem - The 2011 International Conference …, 2011 - ieeexplore.ieee.org
A precise event detection is a fundamental step in many applications. For instances, moving
object detection is a fundamental task for a variety of traffic monitoring applications …