Browsing by Author "Elharrouss, Omar"
Now showing items 1-18 of 18
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A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
( MDPI , 2023 , Article Review)The number of people who suffer from diabetes in the world has been considerably increasing recently. It affects people of all ages. People who have had diabetes for a long time are affected by a condition called Diabetic ... -
COVID-19 Lung Infection Segmentation
( Qatar University Press , 2020 , Poster)The novelty of the COVID-19 Disease and the speed of spread, that create a colossal chaos, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ... -
Crowd counting Using DRL-based segmentation and RL-based density estimation
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ... -
Crowd density estimation for crowd management at event entrance
( Qatar University Press , 2020 , Poster)Crowd management is an essential tasks to ensure the safety and smoothness of any events. Using the novel technologies including surveillance cameras, communication technics between security agents, the control of the crowd ... -
Digital forensic analysis for source video identification: A survey
( Elsevier , 2022 , Article Review)In recent years, many digital devices have been equipped with a video camera that allows videos to be recorded in good quality, free of charge and without restrictions. Concurrently, the widespread use of digital videos ... -
Edge Detection with multi-scale representation and refined Network
( Institution of Engineering and Technology , 2022 , Conference Paper)Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge ... -
Face recognition and summarization for surveillance video sequences
( Qatar University Press , 2020 , Poster)Face recognition and video summarization represent chal- lenging tasks for several computer vision applications including video surveil- lance, criminal investigations, and sports applications'. For long videos, it is ... -
Feature fusion based on joint sparse representations and wavelets for multiview classification
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ... -
Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone
( Elsevier , 2024 , Article)Over the last decade, videos uploaded and shared through web-based multimedia platforms and mobile applications have proliferated worldwide. This is because cloud-based applications such as iCloud, YouTube, Facebook, ... -
Image Generation: A Review
( Springer , 2022 , Article Review)The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images from different ... -
Image Inpainting: A Review
( Springer , 2019 , Article)Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has recently gained even more popularity, because of the recent development in image processing techniques. ... -
Intelligent monitoring system for crowd monitoring and social distancing with mask control
( Qatar University Press , 2020 , Poster)Due to the current COVID situation , there's a huge need for crowd control as well as efficient social distancing. Security cameras everywhere but personnel to monitor it, a few. In this project we use crowd counting and ... -
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ... -
Secure eHealth: A Secure eHealth System to Detect COVID Using Image Steganography
( Qatar University Press , 2020 , Poster)COVID is a pandemic which has spread to all parts of the world. Detection of COVID infection is crucial to prevent the spread further. Contactless health care systems are essential which can be implemented with Cloud ... -
Smart System to Monitor Social-Distancing During the Covid-19 Pandemic
( Qatar University Press , 2020 , Poster)We introduce a smart system to track and maintain real-time physical distance between people and to warn people to any deviation from the prescribed distances. Social-distancing is an effective way of slowing infectious ... -
Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and ... -
Video summarization based on motion detection for surveillance systems
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this paper a video summarization method based on motion detection has been proposed. Sensor noise (noise of acquisition and digitization) and the illumination changes in the scene are the most limitations of the background ... -
ViDMASK dataset for face mask detection with social distance measurement
( Elsevier B.V. , 2022 , Article)The COVID-19 outbreak has extenuated the need for a monitoring system that can monitor face mask adherence and social distancing with the use of AI. With the existing video surveillance systems as base, a deep learning ...
