305 citations · 312 across the 4 of their papers we have counts for
6 papers · 1 filter
Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems
Mohamed Shehata, Mohamed Taha Abou-Kreisha, Hany Elnashar
Automated Vehicle License Plate (VLP) detection and recognition have ended up being a significant research issue as of late. VLP localization and recognition are some of the most e…
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata
Visual object tracking is a fundamental task in the field of computer vision. Recently, Siamese trackers have achieved state-of-the-art performance on recent benchmarks. However, S…
Vehicles Detection Based on Background Modeling
Mohamed Shehata, Reda Abo-Al-Ez, Farid Zaghlool +1
Background image subtraction algorithm is a common approach which detects moving objects in a video sequence by finding the significant difference between the video frames and the…
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
Convolutional Siamese neural networks have been recently used to track objects using deep features. Siamese architecture can achieve real time speed, however it is still difficult…
Estimation and Tracking of AP-diameter of the Inferior Vena Cava in Ultrasound Images Using a Novel Active Circle Algorithm
Ebrahim Karami, Mohamed Shehata, Andrew Smith
Medical research suggests that the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) and its associated temporal variation as imaged by bedside ultrasound is useful…
Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images
Ebrahim Karami, Siva Prasad, Mohamed Shehata
Fast and robust image matching is a very important task with various applications in computer vision and robotics. In this paper, we compare the performance of three different imag…